CN118381164B - Lithium ion battery linear charging management method and system for charging monitoring - Google Patents

Abstract

The present invention provides a lithium-ion battery linear charging management method and system for charging monitoring, which relates to the technical field of lithium battery charging management, and comprises a battery parameter acquisition module, a usage habit analysis module, a charging process monitoring module and a charging completion protection module; the battery parameter acquisition module is used to detect the charging state and rated information of the lithium battery; the usage habit analysis module is used to analyze the user's usage habits according to the wake-up time; the charging process monitoring module is used to calculate the optimal charging current of the charging current in combination with whether the user uses the charging current and the usage habits; the charging completion protection module is used to provide different charging protection currents; the present invention is used to solve the problem that the existing lithium battery charging management technology still has insufficient consideration of variable factors in the lithium battery charging process, resulting in a significant reduction in the service life of the lithium battery.

Description

A lithium-ion battery linear charging management method and system for charging monitoring

Technical Field

The present invention relates to the technical field of lithium battery charging management, and in particular to a lithium ion battery linear charging management method and system for charging monitoring.

Background Art

Lithium battery charging management technology refers to a series of technical methods and strategies for effective charging control and protection of lithium-ion batteries. Its main goal is to maximize the charging efficiency and life of lithium batteries while ensuring the safety of the charging process.

Existing lithium battery charging management technologies usually monitor the temperature of lithium batteries, and only reduce or turn off the charging current when the temperature is close to the maximum temperature that the lithium battery can withstand. There is a lack of prevention for this phenomenon, and when the battery temperature is close to the maximum temperature, the lithium battery is severely damaged, which seriously affects the service life of the lithium battery. Whether the user uses a lithium battery device will also affect the battery temperature. The existing lithium battery charging management technology does not optimize the charging used by the lithium battery device during the charging process, resulting in an increase in the battery temperature and affecting the service life of the lithium battery. For example, in a Chinese patent with publication number CN110364776A, a lithium battery intelligent charging management method and device are disclosed. The scheme evaluates the health status of the lithium battery by analyzing the charging parameters of the lithium battery, thereby managing the charging process of the lithium battery. This method does not analyze whether the user uses the lithium battery device. If the user frequently uses the lithium battery device, the charging parameters will also change frequently, which will cause the control of the charging current to change frequently, causing greater damage to the lithium battery and is not conducive to the long-term use of the lithium battery. The existing lithium battery charging management technology also has the problem of insufficient consideration of variable factors in the lithium battery charging process, resulting in a significant reduction in the service life of the lithium battery.

Summary of the invention

In view of the deficiencies in the prior art, the present invention provides a lithium-ion battery linear charging management method and system for charging monitoring, which can record the wake-up duration each time a user wakes up a lithium battery device during the charging process, and then analyze the wake-up duration to obtain a wake-up separation reference value, and then obtain the normal maximum temperature of the lithium battery, and then obtain the charging temperature increase function by setting an experimental group to the relationship between the charging current and the normal maximum temperature, and finally analyze the optimal charging current of the lithium battery based on the charging temperature increase function and the wake-up separation reference value, so as to solve the problem that the existing lithium battery charging management technology still has insufficient consideration of variable factors in the lithium battery charging process, resulting in a significant reduction in the service life of the lithium battery.

In order to achieve the above-mentioned object, in a first aspect, the present invention provides a lithium-ion battery linear charging management system for charging monitoring, comprising a battery parameter acquisition module, a usage habit analysis module, a charging process monitoring module and a charging completion protection module; the battery parameter acquisition module, the usage habit analysis module and the charging completion protection module are respectively connected to the charging process monitoring module;

The battery parameter acquisition module is used to detect the charging state and rated information of the lithium battery;

The usage habit analysis module is used to record the time when the user wakes up the lithium battery device during the charging process, and analyze the user's usage habits according to the wake-up time;

The charging process monitoring module is used to detect whether the user uses the lithium battery device during the charging process, monitor the temperature of the lithium battery, calculate the optimal charging current based on the charging state and rated information of the lithium battery, whether the user uses it and the user habits, and adjust the charging current to the optimal charging current to reduce the loss of the lithium battery and maximize the charging rate;

The charging completion protection module is used to detect whether the user uses the lithium battery device after charging is completed, and provide different charging protection currents when the device is used or not.

Furthermore, the charging status includes battery power and battery temperature; and the rated information is a rated charging rate.

Furthermore, the usage habit analysis module includes a usage habit recording unit and a usage habit analysis unit. The usage habit recording unit is used to record the wake-up time and wake-up duration of the user waking up the lithium battery device; the usage habit analysis unit is used to analyze the wake-up time and wake-up duration to obtain the user's usage habits.

Furthermore, the wake-up time of the lithium battery device when the user wakes up is recorded during the charging process. The timing starts when the user wakes up the lithium battery device and stops when the user turns off the lithium battery device. The recorded time is marked as the wake-up time.

Furthermore, the usage habit analysis unit is configured with a usage habit analysis strategy, and the usage habit analysis strategy includes:

Keep statistics on each recorded wake-up time and duration;

Sort the wake-up durations in ascending order to obtain an ascending order of durations;

A rectangular coordinate system is established with the ascending order of duration as the X-axis and the wake-up duration as the Y-axis, named the ascending order of duration coordinate system, and the ascending order of duration and the wake-up duration are entered into the ascending order of duration coordinate system;

Name the coordinate points in the duration increasing coordinate system as duration coordinate points, obtain the maximum value and the minimum value in the wake-up duration, and mark them as the maximum wake-up duration and the minimum wake-up duration respectively;

On the Y axis, take the minimum wake-up duration as the endpoint, take the positive direction of the X axis as the direction, draw a ray parallel to the X axis, name it the separation line, and name the endpoint of the separation line as the separation endpoint;

The duration increment coordinate system and the separation line are further analyzed to obtain the wake-up separation reference value.

Furthermore, further analysis of the duration increasing coordinate system and the dividing line includes:

Name the value corresponding to the separation endpoint on the Y axis as the separation value, move the separation line vertically along the positive direction of the Y axis, calculate the separation value minus the minimum wake-up duration, and mark the calculation result as the short wake-up span; calculate the maximum wake-up duration minus the separation value, and mark the calculation result as the long wake-up span;

The area from Y equal to the minimum wake-up time to Y equal to the separation value is named the short-time wake-up area; the area from Y equal to the separation value to Y equal to the maximum wake-up time is named the long-time wake-up area;

Count the number of time coordinate points in the short-time wake-up area, named short-time number; count the number of time coordinate points in the long-time wake-up area, named long-time number;

Calculate the number of short-time wake-up times divided by the short-time wake-up span, and name the result short-time density; calculate the number of long-time wake-up times divided by the long-time wake-up span, and name the result long-time density;

Add the short-term density and the long-term density to calculate the density parameter. Continue to move the dividing line until the dividing line is equal to the maximum wake-up duration and stop moving. Calculate all density parameters.

Find the maximum value of the density parameter, mark it as the maximum density, and mark the separation value corresponding to the maximum density as the wake-up separation reference value.

Furthermore, the charging process monitoring module includes a battery normality analysis unit and a battery charging analysis unit. The battery normality analysis unit is used to analyze the battery normality of the battery during the charging process; the battery charging analysis unit is used to analyze the charging process of the battery and regulate the charging current of the battery according to the analysis results.

Furthermore, the battery normal state during the charging process is analyzed to charge the lithium battery at a rated rate, and the maximum value of the battery temperature when the battery power reaches 100% and the lithium battery device is not awakened during the charging process is recorded, which is marked as the normal maximum temperature.

Furthermore, the battery charging analysis unit is configured with a battery charging analysis strategy, and the battery charging analysis strategy includes:

Monitor whether the user is using a lithium battery device. If so, output a device operation signal; if not, output a device shutdown signal.

If the device operation signal is output, the wake-up time of the lithium battery device is obtained in real time and marked as the operation time;

The running time is compared with the wake-up separation reference value. If the running time is less than or equal to the wake-up separation reference value, a short-time use signal is output; if the running time is greater than the wake-up separation reference value, a long-time use signal is output;

If a long-term use signal is output, the current battery temperature is obtained, the normal maximum temperature is subtracted from the battery temperature, and the calculation result is marked as the use temperature; if the use temperature is less than or equal to zero, a normal use temperature signal is output; if the use temperature is greater than zero, a high use temperature signal is output;

If the output signal of the use temperature is too high, the normal maximum temperature minus the use temperature is calculated, and the calculation result is marked as the ideal temperature. The ideal temperature is substituted into the charging temperature increase function to calculate the optimal charging current;

The charging temperature increase function is obtained by a charging temperature analysis strategy.

Furthermore, the charging temperature analysis strategy includes:

An experimental group was set up to analyze the relationship between charging current and battery temperature, and the charging current used by the experimental group was named experimental current;

Charge the lithium battery with a constant experimental current, and record the normal maximum temperature each time;

The experimental current starts with the first charging current and increases the charging current in sequence, with each increase being a current gradient until the current increases to a rated rate; each experimental current corresponds to an experimental group;

Each experimental group performs the experiment for the first number of experiments to obtain experimental results, wherein the experimental results include experimental current and normal maximum temperature;

A rectangular coordinate system is established with the experimental current as the horizontal axis and the normal maximum temperature as the vertical axis, named the charging temperature coordinate system, and the experimental results are recorded in the charging temperature coordinate system;

Perform linear regression on the charging temperature coordinate system to obtain the charging temperature increase function.

Furthermore, the charging completion protection module is configured with a charging completion protection strategy, and the charging completion protection strategy includes:

When the battery power is 100%, the charging current is switched to the charging protection current;

Monitor whether the user is using a lithium battery device. If the user is using a lithium battery device, set the charging protection current to the first charging current; if the user is not using a lithium battery device, set the charging protection current to the normal protection current.

In a second aspect, the present invention provides a lithium-ion battery linear charging management method for charging monitoring, comprising the following steps:

Step S1, detecting the charging state and rated information of the lithium battery;

Step S2, during the charging process, record the time when the user wakes up the lithium battery device, and analyze the user's usage habits based on the wake-up time;

Step S3, during the charging process, detecting whether the user is using the lithium battery device, monitoring the temperature of the lithium battery, calculating the optimal charging current based on whether the user is using the device and the user's usage habits, and adjusting the charging current to the optimal charging current to reduce the loss of the lithium battery and maximize the charging rate;

Step S4, after charging is completed, detecting whether the user is using the lithium battery device, and providing different charging protection currents when the device is in use or not.

Beneficial effects of the present invention: The present invention records the wake-up time each time the user wakes up the lithium battery device during the charging process of the lithium battery, and then divides the wake-up time to find the wake-up separation reference value. The advantage is that the wake-up time of the user waking up the lithium battery device for a short time and the wake-up time of the lithium battery device for a long time are obviously different, and the span is usually large. Therefore, finding an optimal separation point to separate them can confirm whether the user wakes up the lithium battery device for a long time or a short time, thereby improving the rationality of lithium battery charging management;

The present invention obtains the normal maximum temperature during the charging process of the lithium battery, and then experiments the charging current and the normal maximum temperature to obtain a charging temperature increase function. The advantage of the present invention is that the charging temperature increase function reflects the dynamic relationship between the charging current and the normal maximum temperature, and can provide an effective control basis for subsequent management, thereby improving the reliability of lithium battery charging management.

The present invention analyzes the charging process of the lithium battery by combining the wake-up separation reference value and the charging temperature increase function, calculates the optimal charging current and regulates the charging current of the lithium battery. The advantage is that the analysis of the wake-up separation reference value can determine whether the user uses the lithium battery device for a long time. If so, the charging current needs to be appropriately reduced to ensure that the battery temperature of the lithium battery is within the normal maximum temperature. The reduction to what extent needs to be calculated based on the charging temperature increase function, thereby improving the rationality of the lithium battery charging management and the service life of the lithium battery.

Advantages of additional aspects of the present invention will be given in part in the description of the following specific embodiments, and in part will become apparent from the following description, or will be learned through the practice of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

FIG1 is a schematic diagram of the structure of a lithium-ion battery linear charging management system for charging monitoring according to the present invention;

FIG2 is a schematic diagram of a time-increasing coordinate system of the present invention;

FIG3 is a schematic diagram of a dividing line of the present invention;

FIG4 is a schematic diagram of a charging temperature coordinate system of the present invention;

FIG5 is a flow chart showing the steps of a linear charging management method for a lithium-ion battery for charging monitoring according to the present invention.

DETAILED DESCRIPTION

It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

It should be noted that the terms used herein are for describing specific embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

Example 1

Please refer to Figure 1, the present invention provides a lithium-ion battery linear charging management system for charging monitoring, including a battery parameter acquisition module, a usage habit analysis module, a charging process monitoring module and a charging completion protection module; the battery parameter acquisition module, the usage habit analysis module and the charging completion protection module are respectively connected to the charging process monitoring module.

The battery parameter acquisition module is used to detect the charging status and rated information of the lithium battery; the charging status includes the battery power and battery temperature; the rated information is the rated charging rate.

In actual applications, lithium battery devices are suitable for most smart devices powered by lithium batteries. The lithium battery device in this embodiment is a smart phone. The charging status is obtained by connecting the data with the lithium battery device. The rated rate is the rated charging current of the lithium battery device, and the rated rate is 5A.

The usage habit analysis module is used to record the time when the user wakes up the lithium battery device during the charging process, and analyze the user's usage habits based on the wake-up time; the usage habit analysis module includes a usage habit recording unit and a usage habit analysis unit.

The usage habit recording unit is used to record the wake-up time of the user waking up the lithium battery device; the wake-up time of the user waking up the lithium battery device is recorded during the charging process, starting when the user wakes up the lithium battery device and stopping when the user turns off the lithium battery device, and marking the recorded time as the wake-up time.

In actual applications, wake-up means that the user is using a lithium battery device. In this embodiment, the lithium battery device is a smart phone. Lighting up the screen means that the user has woken up the lithium battery device. The wake-up time for the user to wake up the lithium battery device is usually divided into short wake-up and long wake-up. Short wake-up has almost no effect on the battery temperature, while long wake-up will increase the battery temperature. Therefore, when the user wakes up the lithium battery device for a long time, the charging current should be reduced to avoid excessive battery temperature and reduce the battery life. When regulating the charging current, if the threshold separating short wake-up and long wake-up is set too low, the charging current will be frequently regulated, which will cause damage to the battery. If the threshold is set too high, the battery temperature will be too high. Therefore, it is necessary to analyze the threshold and select a suitable wake-up separation reference value.

The usage habit analysis unit is used to analyze the wake-up time and wake-up duration to obtain the user's usage habits.

The usage habit analysis unit is configured with a usage habit analysis strategy, which includes:

Keep statistics on each recorded wake-up time and duration;

Sort the wake-up durations in ascending order to obtain an ascending order of durations;

Please refer to FIG. 2 , a rectangular coordinate system is established with the ascending order of duration as the X-axis and the wake-up duration as the Y-axis, named the ascending order of duration coordinate system, and the ascending order of duration and the wake-up duration are entered into the ascending order of duration coordinate system;

Name the coordinate points in the duration increasing coordinate system as duration coordinate points, obtain the maximum value and the minimum value in the wake-up duration, and mark them as the maximum wake-up duration and the minimum wake-up duration respectively;

On the Y-axis, with the minimum wake-up duration as the endpoint and the positive direction of the X-axis as the direction, draw a ray parallel to the X-axis, name it the separator line, and name the endpoint of the separator line as the separator endpoint.

In actual applications, due to the large amount of data, it is inconvenient to show it in detail in this embodiment. Therefore, only part of the data is used to construct a time-increasing coordinate system as shown in FIG2 . The maximum wake-up time and the minimum wake-up time are obtained to be 0.1 min and 9.6 min respectively, and a separation line is drawn;

The duration increment coordinate system and the separation line are further analyzed to obtain the wake-up separation reference value.

Please refer to FIG. 3 , the value corresponding to the separation endpoint on the Y axis is named the separation value, the separation line is moved vertically along the positive direction of the Y axis, the separation value minus the minimum wake-up duration is calculated, and the calculation result is marked as the short wake-up span; the maximum wake-up duration minus the separation value is calculated, and the calculation result is marked as the long wake-up span;

The area from Y equal to the minimum wake-up time to Y equal to the separation value is named the short-time wake-up area; the area from Y equal to the separation value to Y equal to the maximum wake-up time is named the long-time wake-up area;

Count the number of time coordinate points in the short-time wake-up area, named short-time number; count the number of time coordinate points in the long-time wake-up area, named long-time number;

Calculate the number of short-time wake-up times divided by the short-time wake-up span, and name the result short-time density; calculate the number of long-time wake-up times divided by the long-time wake-up span, and name the result long-time density;

Add the short-term density and the long-term density to calculate the density parameter. Continue to move the dividing line until the dividing line is equal to the maximum wake-up duration and stop moving. Calculate all density parameters.

Find the maximum value of the density parameter, mark it as the maximum density, and mark the separation value corresponding to the maximum density as the wake-up separation reference value.

In actual applications, when the dividing line moves to the position shown in Figure 3, the separation value is 1.2, the short-time wake-up span is calculated to be 1.1, the long-time wake-up span is 8.4, the short-time number is 9, the duration coordinate points on the dividing line are summarized as short-time numbers, the long-time number is 6, the short-time density is calculated to be 8.18, and the long-time density is 0.71. The calculation results retain two decimal places, and the density parameter is further calculated to be 8.89; all density parameters are calculated in the same way, and the maximum density is 8.89 through comparison, and the corresponding separation value is 1.2, that is, the wake-up separation reference value is 1.2min.

The charging process monitoring module is used to detect whether the user is using the lithium battery device during the charging process, and monitor the temperature of the lithium battery. It calculates the optimal charging current based on whether the user is using it and the user's usage habits, and adjusts the charging current to the optimal charging current to reduce the loss of the lithium battery and maximize the charging rate; the charging process monitoring module includes a battery normal analysis unit and a battery charging analysis unit.

The battery normal state analysis unit is used to analyze the battery normal state of the battery during the charging process; analyzing the battery normal state of the battery during the charging process is to charge the lithium battery at a rated rate, record the maximum value of the battery temperature when the battery power reaches 100% and the lithium battery device is not awakened during the charging process, and mark it as the normal maximum temperature.

In actual applications, the normal maximum temperature means that the battery is in daily life and is not awakened by anyone during the charging process. The change in battery temperature only depends on the size of the charging current, and the normal maximum temperature is only related to the size of the charging current and the ambient temperature. In this embodiment, the influence of ambient temperature on the battery temperature is not considered, and only the maximum value of the battery temperature in all tests is taken as the normal maximum temperature. Ideally, the normal maximum temperature is the maximum value of the battery temperature obtained by charging the lithium battery at the rated rate at the highest room temperature. In real life, although the temperature that a lithium battery can withstand is higher than the normal maximum temperature, it will affect the service life of the battery. The normal maximum temperature is the optimal temperature determined by the lithium battery manufacturer when manufacturing it, which can minimize the damage to the battery service life. The normal maximum temperature in this embodiment is 45°C.

The battery charging analysis unit is used to analyze the battery charging process and regulate the battery charging current according to the analysis results.

The battery charging analysis unit is configured with a battery charging analysis strategy, which includes:

Monitor whether the user is using a lithium battery device. If so, output a device operation signal; if not, output a device shutdown signal.

If the device operation signal is output, the wake-up time of the lithium battery device is obtained in real time and marked as the operation time;

The running time is compared with the wake-up separation reference value. If the running time is less than or equal to the wake-up separation reference value, a short-time use signal is output; if the running time is greater than the wake-up separation reference value, a long-time use signal is output;

If a long-term use signal is output, the current battery temperature is obtained, the normal maximum temperature is subtracted from the battery temperature, and the calculation result is marked as the use temperature; if the use temperature is less than or equal to zero, a normal use temperature signal is output; if the use temperature is greater than zero, a high use temperature signal is output;

If the output signal is that the operating temperature is too high, the normal maximum temperature minus the operating temperature is calculated, the calculation result is marked as the ideal temperature, and the ideal temperature is substituted into the charging temperature increase function to calculate the optimal charging current.

In actual applications, it is monitored that the user is using a lithium battery device, and the device operation signal is output. The real-time operating time is 1.3 minutes. Through comparison, it is found that the operating time is greater than the wake-up separation reference value, and a long-time use signal is output. The battery temperature is 48°C, and the use temperature is 3°C through calculation. If the use temperature is greater than zero, a high use temperature signal is output, and the ideal temperature is 42°C after calculating the normal maximum temperature minus the use temperature.

The charging temperature increase function is obtained by the charging temperature analysis strategy;

Charging temperature analysis strategies include:

An experimental group was set up to analyze the relationship between charging current and battery temperature, and the charging current used by the experimental group was named experimental current;

Charge the lithium battery with a constant experimental current, and record the normal maximum temperature each time;

The experimental current starts with the first charging current and increases the charging current in sequence, with each increase being the current gradient until it increases to the rated rate; each experimental current corresponds to an experimental group;

Each experimental group conducts the first number of experiments to obtain experimental results, which include experimental current and normal maximum temperature.

Please refer to FIG4 , where a rectangular coordinate system is established with the experimental current as the horizontal axis and the normal maximum temperature as the vertical axis, named the charging temperature coordinate system, and the experimental results are entered into the charging temperature coordinate system;

Perform linear regression on the charging temperature coordinate system to obtain the charging temperature increase function.

In practical applications, the first charging current is the minimum charging current, the first charging current is 1A, and the current gradient is 0.5A, that is, the experimental groups include 1A experimental group, 1.5A experimental group, 2A experimental group, 2.5A experimental group, 3A experimental group, 3.5A experimental group, 4A experimental group, 4.5A experimental group and 5A experimental group; the first number of experiments is to eliminate the contingency of the experimental data and improve the reliability of the experimental data, and the first number of experiments is set to 10; the charging temperature coordinate system constructed based on the experimental results is shown in Figure 4, and the charging temperature increase function is obtained by linear regression as Z=5.025×B+19.036, where Z is the normal maximum temperature, B is the experimental current, and Z is equal to the ideal temperature of 42°C and substituted into the charging temperature increase function to calculate the optimal charging current of 4.6A. The calculation result is retained to one decimal place. When the battery is not full, the charging current is set to 4.6A, and the charging current is adjusted back to the rated rate after the user stops using the lithium battery device and the battery temperature drops to the use temperature.

The charging completion protection module is used to detect whether the user is using the lithium battery device after charging is completed, and provide different charging protection currents when it is used or not.

The charging completion protection module is configured with a charging completion protection strategy, which includes:

When the battery power is 100%, the charging current is switched to the charging protection current;

Monitor whether the user is using a lithium battery device. If the user is using a lithium battery device, set the charging protection current to the first charging current; if the user is not using a lithium battery device, set the charging protection current to the normal protection current.

In actual applications, when the battery is fully charged, there will usually be a charging protection current to ensure that the lithium battery is always fully charged and will not affect the lithium battery. This charging protection current is usually 50mA based on existing standards, that is, the conventional protection current is 50mA. If the user continues to use it after it is fully charged, it only needs to be charged with the first charging current to ensure that the amount of power used by the user does not exceed the first charging current, while minimizing the impact on the battery.

Example 2

Referring to FIG. 5 , the present invention further provides a lithium-ion battery linear charging management method for charging monitoring, comprising the following steps:

Step S1, detecting the charging state and rated information of the lithium battery; the charging state includes the battery power and the battery temperature; the rated information is the rated charging rate.

Step S2, during the charging process, record the time when the user wakes up the lithium battery device, and analyze the user's usage habits based on the wake-up time; Step S2 includes the following sub-steps:

Step S201, recording the wake-up time of the lithium battery device when the user wakes up; recording the wake-up time of the lithium battery device when the user wakes up the lithium battery device during the charging process, starting the timing when the user wakes up the lithium battery device, and stopping the timing when the user turns off the lithium battery device, and marking the recorded time as the wake-up time.

Step S202: Analyze the wake-up time and wake-up duration to obtain the user's usage habits.

Step S202 includes the following sub-steps:

Step S2021, collecting statistics on each recorded wake-up time and wake-up duration;

Step S2022, sorting the wake-up durations in ascending order to obtain an ascending order of durations;

Step S2023, establishing a rectangular coordinate system with the ascending order of duration as the X-axis and the wake-up duration as the Y-axis, named the ascending order of duration coordinate system, and entering the ascending order of duration and the wake-up duration into the ascending order of duration coordinate system;

Step S2024, naming the coordinate point in the duration increment coordinate system as a duration coordinate point, obtaining the maximum value and the minimum value of the wake-up duration, and marking them as the maximum wake-up duration and the minimum wake-up duration respectively;

Step S2025, draw a ray on the Y axis with the minimum wake-up duration as the endpoint and the positive direction of the X axis as the direction, parallel to the X axis, and name it a separation line, and name the endpoint of the separation line as the separation endpoint;

Step S2026: further analyze the duration increment coordinate system and the separation line to obtain a wake-up separation reference value.

Step S2026 includes the following sub-steps:

Step S2026.1, name the value corresponding to the separation endpoint on the Y axis as the separation value, move the separation line vertically along the positive direction of the Y axis, calculate the separation value minus the minimum wake-up duration, and mark the calculation result as the short wake-up span; calculate the maximum wake-up duration minus the separation value, and mark the calculation result as the long wake-up span;

Step S2026.2, the area from Y equal to the minimum wake-up time to Y equal to the separation value is named as the short-time wake-up area; the area from Y equal to the separation value to Y equal to the maximum wake-up time is named as the long-time wake-up area;

Step S2026.3, counting the number of time coordinate points in the short-time wake-up area, named short-time number; counting the number of time coordinate points in the long-time wake-up area, named long-time number;

Step S2026.4, calculate the number of short-time wake-up times divided by the short-time wake-up span, and name the calculation result as short-time density; calculate the number of long-time wake-up times divided by the long-time wake-up span, and name the calculation result as long-time density;

Step S2026.5, add the short-time density and the long-time density to calculate the density parameter, continue to move the dividing line until the dividing line value is equal to the maximum wake-up duration, and then stop moving, and calculate all density parameters;

Step S2026.6, find the maximum value of the density parameter, mark it as the maximum density, and mark the separation value corresponding to the maximum density as the wake-up separation reference value.

Step S3, during the charging process, detect whether the user uses the lithium battery device, monitor the temperature of the lithium battery, calculate the optimal charging current based on whether the user uses it and the user's usage habits, and adjust the charging current to the optimal charging current to reduce the loss of the lithium battery and maximize the charging rate; Step S3 includes the following sub-steps:

Step S301, analyzing the battery normal state during the charging process; analyzing the battery normal state during the charging process is charging the lithium battery at a rated rate, recording the maximum value of the battery temperature when the battery power reaches 100% and the lithium battery device is not awakened during the charging process, and marking it as the normal maximum temperature.

Step S302, analyzing the charging process of the battery, and regulating the charging current of the battery according to the analysis result.

Step S302 includes the following sub-steps:

Step S3021, monitoring whether the user is using a lithium battery device, if so, outputting a device operation signal; if not, outputting a device shutdown signal;

Step S3022: If the device operation signal is output, the wake-up time of the lithium battery device is obtained in real time and marked as the operation time;

Step S3023, comparing the running time with the wake-up separation reference value, if the running time is less than or equal to the wake-up separation reference value, outputting a short-time use signal; if the running time is greater than the wake-up separation reference value, outputting a long-time use signal;

Step S3024, if a long-time use signal is output, the current battery temperature is obtained, the normal maximum temperature is subtracted from the battery temperature, and the calculation result is marked as the use temperature; if the use temperature is less than or equal to zero, a normal use temperature signal is output; if the use temperature is greater than zero, a high use temperature signal is output;

Step S3025, if the use temperature is too high signal is output, the normal maximum temperature minus the use temperature is calculated, the calculation result is marked as the ideal temperature, and the ideal temperature is substituted into the charging temperature increase function to calculate the optimal charging current;

Step S3026, the charging temperature increase function is obtained by the following sub-steps;

Step S3026 includes the following sub-steps:

Step S3026.1, setting an experimental group to analyze the relationship between charging current and battery temperature, and naming the charging current used by the experimental group as experimental current;

Step S3026.2, charging the lithium battery with a constant experimental current, and recording the normal maximum temperature once each time charging;

Step S3026.3, the experimental current starts with the first charging current and increases the charging current in sequence, with each increase being the current gradient until it increases to the rated rate; each experimental current corresponds to an experimental group;

Step S3026.4, each experimental group performs the first number of experiments to obtain experimental results, which include experimental current and normal maximum temperature;

Step S3026.5, establish a rectangular coordinate system with the experimental current as the horizontal axis and the normal maximum temperature as the vertical axis, named the charging temperature coordinate system, and enter the experimental results into the charging temperature coordinate system;

Step S3026.6, perform linear regression on the charging temperature coordinate system to obtain the charging temperature increase function.

Step S4, after charging is completed, detecting whether the user is using the lithium battery device, and providing different charging protection currents when the device is in use or not in use; Step S4 includes the following sub-steps:

Step S401, when the battery power is 100%, the charging current is switched to the charging protection current.

Step S402, monitoring whether the user is using a lithium battery device. If the user is using a lithium battery device, the charging protection current is set to the first charging current; if the user is not using a lithium battery device, the charging protection current is set to a normal protection current.

Example 3

The present application provides an electronic device, including a processor and a memory, the memory storing computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the above method are executed. Through the above technical solution, the processor and the memory are interconnected and communicate with each other through a communication bus and/or other forms of connection mechanisms, and the memory stores a computer program executable by the processor. When the electronic device is running, the processor executes the computer program to execute the method in any optional implementation of the above embodiment to achieve the following functions: detect the charging status and rated information of the lithium battery; analyze the user's usage habits according to the wake-up time; calculate the optimal charging current of the charging current based on whether the user uses it and the usage habits; and provide different charging protection currents.

Example 4

The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method are executed. Through the above technical solution, when the computer program is executed by the processor, the method in any optional implementation of the above embodiment is executed to achieve the following functions: detecting the charging state and rated information of the lithium battery; analyzing the user's usage habits according to the wake-up time; calculating the optimal charging current of the charging current based on whether the user uses it and the usage habits; and providing different charging protection currents.

It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Red Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device that implements the functions specified in one or more processes in the flowchart and/or one or more boxes in the block diagram.

The above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or perform equivalent replacements on some of the technical features thereof; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims (3)

1. The lithium ion battery linear charging management system for charging monitoring is characterized by comprising a battery parameter acquisition module, a usage habit analysis module, a charging process monitoring module and a charging completion protection module; the battery parameter acquisition module, the usage habit analysis module and the charging completion protection module are respectively connected with the charging process monitoring module in a data manner;

the battery parameter acquisition module is used for detecting the charging state and rated information of the lithium battery;

the using habit analysis module is used for recording the time of a user waking up the lithium battery equipment in the charging process and analyzing the using habit of the user according to the waking time;

The charging process monitoring module is used for detecting whether a user uses lithium battery equipment or not in a charging process, monitoring the temperature of the lithium battery, calculating the optimal charging current of the charging current according to the charging state and rated information of the lithium battery, whether the user uses the lithium battery and the using habit, and regulating the charging current to the optimal charging current so as to reduce the loss of the lithium battery and maximize the charging rate;

The charging completion protection module is used for detecting whether a user uses lithium battery equipment after charging is completed and providing different charging protection currents under the condition of using or not using the lithium battery equipment;

the state of charge includes battery charge and battery temperature; the rated information is the rated rate of charging;

the usage habit analysis module comprises a usage habit recording unit and a usage habit analysis unit, wherein the usage habit recording unit is used for recording the awakening time and the awakening duration of a user awakening lithium battery equipment; the using habit analysis unit is used for analyzing the awakening time and the awakening duration to obtain the using habit of the user;

Recording the wake-up time of a user for waking up the lithium battery equipment as the wake-up time when the user starts timing when the user wakes up the lithium battery equipment in the charging process, stopping timing when the user closes the lithium battery equipment, and marking the recorded time as the wake-up time;

the usage habit analysis unit is configured with a usage habit analysis policy including:

counting the recorded wake-up time and wake-up time of each time;

Sequencing the wake-up time according to the increasing sequence to obtain the time increasing sequencing;

Establishing a rectangular coordinate system with the incremental sequencing of the time lengths as an X axis and the wakeup time length as a Y axis, naming the rectangular coordinate system as a time length incremental coordinate system, and inputting the incremental sequencing of the time lengths and the wakeup time length into the time length incremental coordinate system;

Designating coordinate points in a time increment coordinate system as time coordinate points, acquiring a maximum value and a minimum value in the wake-up time, and respectively marking the maximum wake-up time and the minimum wake-up time;

Drawing rays on a Y axis by taking the minimum awakening duration as an endpoint, taking the positive direction of the X axis as a direction, and parallel to the X axis, naming the rays as separation lines, and naming the endpoints of the separation lines as separation endpoints;

Further analyzing the time length increment coordinate system and the separation line to obtain a wake-up separation reference value;

further analysis of the time-duration increment coordinate system and the separation line includes:

The value of the separation endpoint corresponding to the Y axis is named as a separation value, the separation line vertically moves along the positive direction of the Y axis, the value of the separation value minus the minimum wake-up duration is calculated, and the calculation result is marked as a short wake-up span; calculating the value of the wake-up maximum time length minus the separation value, and marking the calculation result as a long-time wake-up span;

The area from the time when Y is equal to the minimum awakening time to the time when Y is equal to the separation value is named as a short-time awakening area; designating an area from the separation value of Y to the maximum wake-up duration as a long-time wake-up area;

Counting the number of the time coordinate points in the short-time wake-up area, and naming the number as a short time number; counting the number of the long-time coordinate points in the long-time wake-up area, and naming the number as a long-time number;

calculating the short time number divided by the short time wake-up span, and naming the calculation result as short time density; calculating the long-time number divided by the long-time wake-up span, and naming the calculation result as long-time density;

adding the short-time density and the long-time density, calculating to obtain density parameters, continuously moving the separation line until the separation value is equal to the maximum awakening duration, stopping moving, and calculating all the density parameters;

Searching the maximum value of the density parameter, marking the maximum density, and marking the separation value corresponding to the maximum density as a wake-up separation reference value;

The charging process monitoring module comprises a battery normal state analysis unit and a battery charging analysis unit, wherein the battery normal state analysis unit is used for analyzing the battery normal state of the battery in the charging process; the battery charging analysis unit is used for analyzing the charging process of the battery and regulating and controlling the charging current of the battery according to an analysis result;

analyzing the normal state of the battery in the charging process to charge the lithium battery at a rated rate, recording the maximum value of the battery temperature when the battery electric quantity reaches 100% and the lithium battery equipment is not awakened in the charging process, and marking the maximum value as the normal state maximum temperature;

the battery charge analysis unit is configured with a battery charge analysis policy including:

monitoring whether a user uses lithium battery equipment, and outputting an equipment operation signal if the user uses the lithium battery equipment; if not, outputting a device closing signal;

if the equipment operation signal is output, acquiring the wake-up time length of the lithium battery equipment in real time, and marking the wake-up time length as the operation time length;

Comparing the operation time length with the wake-up separation reference value, and outputting a short-time use signal if the operation time length is smaller than or equal to the wake-up separation reference value; if the running time length is greater than the wakeup separation reference value, outputting a long-time use signal;

If the long-time use signal is output, acquiring the current battery temperature, subtracting the normal maximum temperature from the battery temperature, and marking the calculation result as the use temperature; outputting a use temperature normal signal if the use temperature is less than or equal to zero; if the using temperature is greater than zero, outputting a using temperature over-high signal;

if the using temperature is over high, calculating a normal maximum temperature minus the using temperature, marking the calculated result as an ideal temperature, substituting the ideal temperature into a charging temperature amplification function, and calculating to obtain an optimal charging current;

The charging temperature amplification function is obtained by a charging temperature analysis strategy;

the charge temperature analysis strategy includes:

Setting an experimental group to analyze the relation between the charging current and the battery temperature, and naming the charging current used by the experimental group as experimental current;

charging the lithium battery with constant experimental current, and recording a normal maximum temperature once for each charging;

The experimental current starts from a first charging current, the charging current is increased in sequence, and the value of each increase is a current gradient until the current is increased to a rated rate; each experimental current corresponds to one experimental group;

Each experimental group carries out experiments for the first experiment times to obtain experimental results, wherein the experimental results comprise experimental current and normal maximum temperature;

Establishing a rectangular coordinate system by taking the experimental current as a horizontal axis and the normal maximum temperature as a vertical axis, naming the rectangular coordinate system as a charging temperature coordinate system, and inputting the experimental result into the charging temperature coordinate system;

and linearly regressing the charging temperature coordinate system to obtain a charging temperature amplification function.

2. The lithium ion battery linear charge management system for charge monitoring of claim 1, wherein the charge completion protection module is configured with a charge completion protection policy, the charge completion protection policy comprising:

When the electric quantity of the battery is 100%, switching the charging current into a charging protection current;

Monitoring whether a user uses the lithium battery equipment, and if the user is using the lithium battery equipment, setting the charging protection current as a first charging current; if the user does not use the lithium battery device, the charging protection current is set to a normal protection current.

3. A linear charge management method for a lithium ion battery for charge monitoring, which is applicable to the linear charge management system for a lithium ion battery for charge monitoring as claimed in claim 1 or 2, and is characterized by comprising the following steps:

step S1, detecting the charging state and rated information of a lithium battery;

Step S2, in the charging process, recording the time for a user to wake up the lithium battery equipment, and analyzing the use habit of the user according to the wake-up time;

Step S3, detecting whether a user uses lithium battery equipment or not in the charging process, monitoring the temperature of the lithium battery at the same time, and regulating the charging current to the optimal charging current by combining whether the user uses the lithium battery equipment and the optimal charging current of the charging current calculated by using habits, so as to reduce the loss of the lithium battery and maximize the charging rate;

Step S4, after the charging is completed, whether a user uses the lithium battery device or not is detected, and different charging protection currents are provided under the condition of using or not using the lithium battery device.