CN115370494A - Method, device, and driving control method for optimizing power generation efficiency of a hybrid electric vehicle - Google Patents

Abstract

One or more embodiments of the present specification provide a power generation efficiency optimization method of a hybrid vehicle type, including: acquiring a plurality of groups of cooling liquid temperature groups; acquiring power values of all preset points under non-warming working conditions; and generating a corresponding engine working condition database under the non-warming working condition for each group of cooling liquid temperature groups according to the preset point power values under the non-warming working conditions, wherein each engine working condition database comprises the preset point power values under the non-warming working conditions and the optimal working condition of the preset point power values under each non-warming working condition. The power generation efficiency optimization method for the hybrid vehicle type provided by the embodiment of the specification generates the engine working condition database based on different groups of cooling liquid temperatures, so that the vehicle can automatically select the optimal engine working condition to operate at different temperatures, and the reduction of the engine efficiency caused by temperature change is avoided.

Description

Method, device, and driving control method for optimizing power generation efficiency of a hybrid electric vehicle

technical field

One or more embodiments of this specification relate to the technical field, and in particular to a method and device for optimizing power generation efficiency of a hybrid electric vehicle, and a driving control method for a hybrid electric vehicle.

Background technique

In series hybrid and hybrid hybrid models, the engine drives the generator to generate electricity to generate electric energy, and the drive motor converts the electric energy into kinetic energy for output, finally driving the vehicle. In this case, the engine selects the most economical operating point to generate electricity according to different power generation powers, thereby improving the efficiency of the vehicle and reducing the fuel consumption of the vehicle. The traditional method is to select the operating point with the best efficiency for preset in the vehicle controller according to the efficiency of the power generation system composed of the engine and the generator under different operating conditions.

However, due to different engine coolant temperatures and motor coolant temperatures, the efficiency of the engine and the generator will vary, so the power generation system composed of the generator and the engine has different optimal operating points under different temperature conditions.

Contents of the invention

In view of this, the purpose of one or more embodiments of this specification is to propose a method for optimizing power generation efficiency of a hybrid vehicle to solve the problem of low power generation efficiency under different engine coolant temperatures and generator coolant temperatures.

Based on the above purpose, one or more embodiments of this specification provide a method for optimizing power generation efficiency of a hybrid vehicle, the method for optimizing power generation efficiency of a hybrid vehicle includes:

Obtain multiple groups of coolant temperature groups;

Obtain the power value of each preset point under non-warming conditions;

According to the power value of the preset point under each non-warm-up working condition, a corresponding engine operating condition database under non-warming engine operating conditions is generated for each group of coolant temperature groups, and each of the engine operating condition databases includes each The preset power value under the non-warm engine condition and the optimal working condition of the preset point power value under each non-warm engine condition.

Optionally, said generating a corresponding engine operating condition database under non-warming engine operating conditions for each group of coolant temperature groups includes:

generating a plurality of working condition information corresponding to the preset power value under the non-warming condition for each preset point power value under the non-warming condition;

Obtain the total efficiency of the working condition information according to each working condition information;

The working condition information with the highest total efficiency among the various working condition information corresponding to the preset power value under the same non-warming condition is obtained as the optimal working condition of the preset power value under the non-warming condition.

Optionally, the method for optimizing the power generation efficiency of the hybrid vehicle further includes:

Obtain the non-preset power value under each non-warm-up condition;

According to the optimal working condition of the preset power value obtained under each non-warming condition, the optimal working condition of the non-preset power value is obtained under each non-warming condition through a linear interpolation method; wherein,

The non-preset power value under each non-warming condition, the optimal working condition of the non-preset power value under each non-warming condition, and the preset power under each non-warming condition value and the preset power value under the non-warm-up condition constitute the engine condition database under the non-warm-up condition corresponding to the group of coolant temperatures.

Optionally, each set of coolant temperature groups includes engine fluid cooling temperature and generator coolant temperature.

Optionally, the method for optimizing the power generation efficiency of the hybrid vehicle further includes:

Obtain the power value of each preset point under the warm-up condition;

According to the power value of the preset point under each warm-up working condition, an engine working condition database corresponding to the warm-up working condition is generated for each group of coolant temperature groups, and each engine working condition database under the warm-up working condition is It includes the preset power value under each warm-up condition and the optimal working condition of the preset power value under each warm-up condition.

Optionally, the operating condition information includes engine torque and engine speed.

One or more embodiments of this specification also provide a device for optimizing power generation efficiency of a hybrid vehicle, the device for optimizing power generation efficiency of a hybrid vehicle includes:

A coolant temperature group acquisition module, the coolant temperature group acquisition module is used to acquire multiple sets of coolant temperature groups;

A preset point power value acquisition module, the preset point power value acquisition module is used to obtain each preset point power value under non-warm-up working conditions;

An engine working condition database generating module, the engine working condition database generating module is used to generate a corresponding non-warming engine condition for each group of coolant temperature groups according to the preset power value under each non-warming engine working condition engine operating condition databases, each of the engine operating condition databases includes preset power values in each non-warming engine condition and an optimal operating condition of the preset point power value in each non-warm engine operating condition.

One or more embodiments of the present specification provide a driving control method of a hybrid vehicle, which is used to achieve the power generation efficiency optimization method of a hybrid vehicle as described in any one of the above. The acquired engine operating condition database is used to control vehicle driving.

Optionally, the driving control method of the hybrid vehicle further includes:

During the driving process, obtain the driving speed of the vehicle;

Determine whether the vehicle speed is lower than the preset speed, if so, then

Acquiring the current operating condition information to be used according to the engine operating condition database under the non-warm engine operating condition or the engine operating condition database under the warm engine operating condition;

Determine whether the engine speed in the working condition information to be used is lower than the preset speed value, if not, then

The preset engine speed and the engine torque corresponding to the preset engine speed are acquired.

Optionally, it is characterized in that the driving control method of the hybrid vehicle further includes:

During driving, obtain the engine working condition database;

Obtain the comprehensive efficiency of the optimal working condition of the preset power value;

Obtain other working condition data whose difference from the comprehensive efficiency of the optimal working condition of the preset power value is less than a threshold;

The engine speed with the lowest engine speed among the above operating condition data and the corresponding engine torque are obtained.

It can be seen from the above that the method for optimizing the power generation efficiency of a hybrid vehicle model provided by one or more embodiments of this specification generates an engine operating condition database based on different sets of coolant temperatures, so that the vehicle operates at different temperatures. It can automatically select the optimal engine operating condition to avoid the decrease of engine efficiency caused by temperature changes. Based on the further judgment of vehicle speed and engine efficiency, the engine speed can be adjusted, which can effectively reduce noise and improve passenger comfort. .

Description of drawings

In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or prior art. Obviously, in the following description The accompanying drawings are only one or more embodiments of this specification, and those of ordinary skill in the art can also obtain other drawings according to these drawings without creative work.

Fig. 1 is a schematic flow chart of a method for optimizing power generation efficiency of a hybrid electric vehicle provided by one or more embodiments of the present specification;

Fig. 2 is a schematic structural diagram of an electronic device capable of implementing the method for optimizing power generation efficiency of a hybrid electric vehicle according to the present application provided by one or more embodiments of the present specification.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present disclosure clearer, the present disclosure will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

It should be noted that, unless otherwise defined, the technical terms or scientific terms used in one or more embodiments of the present specification shall have ordinary meanings understood by those skilled in the art to which the present disclosure belongs. "First", "second" and similar words used in one or more embodiments of the present specification do not indicate any order, quantity or importance, but are only used to distinguish different components. "Comprising" or "comprising" and similar words mean that the elements or items appearing before the word include the elements or items listed after the word and their equivalents, without excluding other elements or items. Words such as "connected" or "connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "Down", "Left", "Right" and so on are only used to indicate the relative positional relationship. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

Fig. 1 is a schematic flowchart of a method for optimizing power generation efficiency of a hybrid electric vehicle provided by one or more embodiments of the present specification.

As shown in FIG. 1 , the present embodiment provides a method for optimizing power generation efficiency of a hybrid vehicle. The method for optimizing power generation efficiency of a hybrid vehicle includes:

Obtain multiple groups of coolant temperature groups;

Obtain the power value of each preset point under non-warming conditions;

According to the preset point power values in each non-warm engine condition, a corresponding engine operating condition database under non-warm engine operating conditions is generated for each group of coolant temperature groups, and each engine operating condition database includes each non-warm engine operating condition database. The optimal working condition of the power value of the preset point under the machine working condition and the power value of the preset point under each non-warm machine working condition.

The method for optimizing the power generation efficiency of a hybrid vehicle model provided in this embodiment generates an engine operating condition database based on multiple groups of coolant temperatures, so that vehicles running at different temperatures can automatically select the optimal engine operating condition to run, avoiding the Reduced engine efficiency due to temperature changes.

In one embodiment, the operating condition information includes engine torque and engine speed.

In an embodiment, generating a corresponding engine operating condition database under non-warming engine condition for each coolant temperature group includes:

generating a plurality of working condition information corresponding to the preset power value under the non-warming condition for each preset point power value under the non-warming condition;

Obtain the total efficiency of the working condition information according to each working condition information;

The working condition information with the highest total efficiency among the various working condition information corresponding to the preset power value under the same non-warming condition is obtained as the optimal working condition of the preset power value under the non-warming condition.

For example, when the coolant temperature group is zero degrees, the working condition information of the preset power value is shown in the table below. Here we take the preset power value of 10KW and 20KW as an example. It can be known that at 30kw and 40kw , 50kw, 60kw, 70kw, 80kw, 90kw, 100kw, 110kw have the data shown below.

In one embodiment, the method for optimizing the power generation efficiency of a hybrid vehicle further includes:

Obtain the non-preset power value under each non-warm-up condition;

According to the optimal working condition of the preset power value obtained under each non-warming condition, the optimal working condition of the non-preset power value is obtained under each non-warming condition through a linear interpolation method; wherein,

The non-preset power value under each non-warming condition, the optimal working condition of the non-preset power value under each non-warming condition, and the preset power value under each non-warming condition, The optimal operating conditions of the power values at the preset points in the non-warming condition constitute an engine operating condition database corresponding to the group of coolant temperatures in the non-warming condition.

In one embodiment, each coolant temperature group includes engine fluid coolant temperature and generator coolant temperature.

For example, temperature can be divided into several situations as shown in the table below.

In one embodiment, the method for optimizing the power generation efficiency of a hybrid vehicle further includes:

Obtain the power value of each preset point under the warm-up condition;

According to the power value of the preset point under each warm-up condition, an engine operating condition database corresponding to the warm-up condition is generated for each group of coolant temperature groups, and the engine operating condition database under each warm-up condition includes each The preset power value under the warm-up condition and the optimal working condition of the preset power value under each warm-up condition.

In warm-up conditions, methods such as increasing engine power and post-ignition angle are usually used to quickly increase engine water temperature and exhaust temperature. Therefore, when the engine is in the warm-up condition, its efficiency is not consistent with the non-warm-up condition. Therefore, the efficiency point is preset for the warm-up condition separately. When the engine enters the warm-up condition, it operates according to the warm-up efficiency map. The efficiency of the engine warm-up condition is expressed as follows, and the power generation of the warm-up condition can be preset according to the demand. Assume.

An embodiment of the present application also provides a driving control method for a hybrid vehicle, the driving control method for a hybrid vehicle is used for the engine operating conditions obtained by any one of the power generation efficiency optimization methods for a hybrid vehicle as described above database to control vehicle movement.

In one embodiment, the driving control method of a hybrid electric vehicle further includes:

During the driving process, obtain the driving speed of the vehicle;

Determine whether the vehicle speed is lower than the preset speed, if so, then

Obtain the current working condition information to be used according to the engine working condition database under the non-warm engine working condition or the engine working condition database under the warm engine working condition;

Determine whether the engine speed in the working condition information to be used is lower than the preset speed value, if not, then

The preset engine speed and the engine torque corresponding to the preset engine speed are acquired.

The preset speed can be preset according to different vehicles. It can be known that at different speeds, the passenger's perception of engine noise is different. By setting the preset speed, controlling the engine speed can effectively reduce the noise when the actual speed is lower than the preset speed. The occupant's perception of engine noise improves the ride experience. In general, it can be set to 20 kilometers per hour. Of course, noise control options can also be set in the car, which can be set by the driver himself.

In one embodiment, the driving control method of a hybrid electric vehicle further includes:

During driving, obtain the engine working condition database;

Obtain the comprehensive efficiency of the optimal working condition of the preset power value;

Obtain other working condition data whose difference from the comprehensive efficiency of the optimal working condition of the preset power value is less than a threshold;

The engine speed with the lowest engine speed among the above operating condition data and the corresponding engine torque are acquired.

It can be known that the threshold can be set or adjusted according to different situations, preferably it can be set to 0.5%.

Reducing the speed while ensuring the efficiency can effectively reduce the noise and increase the riding experience of the occupants.

The driving control method for a hybrid electric vehicle provided by the embodiments of the present application has the following advantages:

1. Under different engine and generator cooling water temperatures, intelligently select different operating conditions to achieve the best power generation efficiency under different temperature conditions.

2. Considering the noise sensitivity of the driver at different speeds, the engine power generation conditions are controlled in stages to balance noise and efficiency.

3. Combining the cooling water temperature of the engine and generator in different ways to realize the classification of temperature conditions.

4. It still maintains the highest power generation efficiency for operation under warm-up conditions.

The present application will be further described below by way of examples, and it should be understood that the examples do not constitute any limitation to the present application.

Obtain multiple groups of coolant temperature groups, for example, obtain the case 1 and case 2 in the above table;

Obtain the power values of each preset point under non-warm-up conditions. Specifically, as shown in the above table, the power values of each preset point corresponding to case 1 are 10KW and 20KW respectively;

Generate a plurality of working condition information corresponding to the preset point power value under the non-warming condition for each preset point power value under the non-warming condition; for example, the working condition database is shown in the above table, when the temperature belongs to Case 1, when the required power of the engine is 10KW, it is divided into several gears according to the engine speed, such as 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000, etc., each gear corresponds to a set of engine torque, engine efficiency, Generator efficiency, total efficiency, etc. Similarly, the above data are available at 20KW, 30KW, 40KW, 50KW, 60KW, 70KW, 80KW, 90KW, 100KW, and 110KW.

The total efficiency of each working condition information is obtained according to the working condition information; specifically, as shown in the above table, the total efficiency at each engine speed is the engine efficiency multiplied by the generator efficiency.

Obtain the working condition information with the highest total efficiency among the various working condition information corresponding to the preset power value under the same non-warming condition as the optimal working condition of the preset power value under the non-warming condition; Specifically, as shown in the above table, at 10KW, compare the total efficiency under different speeds and torques, and select the speed and torque information with the highest total efficiency as the optimal working condition. For example, the value of a1 is 35%, the value of b1 is 40%, the value of c1 is 14%, the value of a2 is 40%, the value of b2 is 38%, and the value of c2 is 15.2%. The same is true for other working conditions.

Obtain the non-preset power value under each non-warming condition; it can be preset according to the electricity demand of different engines, generators and vehicles. For example, taking 1KW as a minimum span, it can be divided into 11KW, 12KW, and 13KW , 14KW, 15KW, 16KW, 17KW, 18KW, 19KW, etc.; of course, other methods can also be used to set the span.

According to the optimal working conditions of the preset power values obtained under each non-warm-up working condition, the optimal working conditions of the non-preset power values under each non-warming working condition are obtained by a linear interpolation method;

Suppose, at 10KW, the optimal working condition is 2000 rpm, at 20KW, the optimal working condition is 3000 rpm, and the non-preset point is 15KW, then the formula for finding the non-preset point speed X is (X-2000)/( 3000-2000)=(15-10)/(20-10), available X is 2500 revolutions. Then, when the non-preset point is 25KW, the optimal working condition is 2500 rpm.

It can be known that the non-preset power value under each non-warming condition, the optimal working condition of the non-preset power value under each non-warming condition, and the preset value under each non-warming condition The optimal operating conditions of the set point power value and the preset power value under the non-warm-up condition constitute the engine operating condition database under the non-warm-up condition corresponding to the group of coolant temperatures.

Similarly, in case 2, the optimal working condition can also be obtained for each power value of the preset point. In addition, the optimal working condition of the power value of the non-preset point can be obtained through each optimal working condition, so that according to the situation 2 The obtained preset power values are all obtained from the engine working condition database required by the optimal working condition and the most working condition of the non-preset power value to form the case 2.

Obtain the power value of each preset point under the warm-up condition;

According to the power value of the preset point under each warm-up condition, an engine operating condition database corresponding to the warm-up condition is generated for each group of coolant temperature groups, and the engine operating condition database under each warm-up condition includes each The preset power value under the warm-up condition and the optimal working condition of the preset power value under each warm-up condition.

In warm-up conditions, methods such as increasing engine power and post-ignition angle are usually used to rapidly increase engine water temperature and exhaust temperature. Therefore, the efficiency of the warm-up condition is inconsistent with that of the non-warm-up condition, and the seats need to be preset separately. The preset method is the same as that of the non-warm-up condition, and will not be repeated here.

The engine working condition database obtained above is used to control the driving of the vehicle during the running of the vehicle. For example, the current temperature is situation 1, and the power generation demand is 10KW. Then, according to the data in the above table, determine the engine speed and engine speed of the optimal working condition. torque.

During the driving process, obtain the driving speed of the vehicle;

Determine whether the vehicle speed is lower than the preset speed, if so, then

Obtain the current working condition information to be used according to the engine working condition database under the non-warm engine working condition or the engine working condition database under the warm engine working condition;

It is judged whether the engine speed in the working condition information to be used is lower than the preset speed value, and if not, the preset engine speed and the engine torque corresponding to the preset engine speed are obtained.

For example, if the current vehicle speed is 18km/h and the preset vehicle speed is 20km/h, the vehicle speed is lower than the preset vehicle speed at this time. At this time, the engine speed is 1800 rpm, and the default value is 1500 rpm. Judging the engine speed at this time If the speed is not lower than the preset speed, the preset speed is 1500 revolutions and the corresponding torque is obtained to control the vehicle.

Further, during the driving process, the engine working condition database is obtained;

Obtain the comprehensive efficiency of the optimal working condition of the preset power value;

Obtain other working condition data whose difference from the comprehensive efficiency of the optimal working condition of the preset power value is less than a threshold;

The engine speed with the lowest engine speed among the above operating condition data and the corresponding engine torque are acquired.

For example, the threshold is 0.5%; when the required power for power generation is 20KW, the optimal working condition is 2500 rpm, and the overall efficiency is 75%. At this time, it is judged in the database of engine operating conditions that the required power for power generation is 20KW, and the overall efficiency is greater than 74.5%. In other working conditions, the engine speed is 2000 rpm, the engine torque is 95.5, and the overall efficiency is 74.55%; the engine speed is 2300 rpm, the engine torque is 90.5, and the overall efficiency is 74.58%; the engine speed is 2000 rpm and the corresponding engine torque is selected to control the vehicle.

It should be noted that the method in one or more embodiments of this specification may be executed by a single device, such as a computer or server. The method of this embodiment can also be applied in a distributed scenario, and is completed by cooperation of multiple devices. In the case of such a distributed scenario, one of the multiple devices may only perform one or more steps in the method of one or more embodiments of this specification, and the multiple devices will perform mutual Interact to complete the described method.

The foregoing describes specific embodiments of this specification. Other implementations are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. Multitasking and parallel processing are also possible or may be advantageous in certain embodiments.

An embodiment of the present application also provides a device for optimizing power generation efficiency of a hybrid vehicle. The device for optimizing power generation efficiency of a hybrid vehicle includes:

A coolant temperature group acquisition module, the coolant temperature group acquisition module is used to acquire multiple sets of coolant temperature groups;

A preset point power value acquisition module, the preset point power value acquisition module is used to obtain each preset point power value under non-warm-up working conditions;

The engine operating condition database generation module, the engine operating condition database generation module is used to generate a corresponding engine under non-warm-up condition for each group of coolant temperature groups according to the preset power value under each non-warm-up condition Working condition database, each engine working condition database includes the preset power value in each non-warming engine condition and the optimal working condition of the preset point power value in each non-warming engine working condition.

For the convenience of description, when describing the above devices, functions are divided into various modules and described separately. Of course, when implementing one or more embodiments of this specification, the functions of each module can be implemented in one or more software and/or hardware.

The apparatuses in the foregoing embodiments are used to implement the corresponding methods in the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

Fig. 2 is a schematic structural diagram of an electronic device capable of implementing the power generation efficiency optimization method of a hybrid vehicle model of the present application provided by one or more embodiments of the present specification. The device may include: a processor 1010, a memory 1020, an input/output interface 1030, Communication interface 1040 and bus 1050. The processor 1010 , the memory 1020 , the input/output interface 1030 and the communication interface 1040 are connected to each other within the device through the bus 1050 .

The processor 1010 may be implemented by a general-purpose CPU (Central Processing Unit, central processing unit), a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute related programs to realize the technical solutions provided by the embodiments of this specification.

The memory 1020 may be implemented in the form of ROM (Read Only Memory, read only memory), RAM (Random Access Memory, random access memory), static storage device, dynamic storage device, and the like. The memory 1020 can store operating systems and other application programs. When implementing the technical solutions provided by the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1020 and invoked by the processor 1010 for execution.

The input/output interface 1030 is used to connect the input/output module to realize information input and output. The input/output/module can be configured in the device as a component (not shown in the figure), or can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, mouse, touch screen, microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, and the like.

The communication interface 1040 is used to connect a communication module (not shown in the figure), so as to realize the communication interaction between the device and other devices. The communication module can realize communication through wired means (such as USB, network cable, etc.), and can also realize communication through wireless means (such as mobile network, WIFI, Bluetooth, etc.).

Bus 1050 includes a path that carries information between the various components of the device (eg, processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).

It should be noted that although the above device only shows the processor 1010, the memory 1020, the input/output interface 1030, the communication interface 1040 and the bus 1050, in the specific implementation process, the device may also include other components. In addition, those skilled in the art can understand that the above-mentioned device may only include components necessary to implement the solutions of the embodiments of this specification, and does not necessarily include all the components shown in the figure.

The present application also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the power generation efficiency optimization method as described above can be realized.

The present application also provides another computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the above driving control method for a hybrid vehicle can be realized.

The computer-readable medium in this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. Information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Flash memory or other memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

Those of ordinary skill in the art should understand that: the discussion of any of the above embodiments is exemplary only, and is not intended to imply that the scope of the present disclosure (including claims) is limited to these examples; under the idea of the present disclosure, the above embodiments or Combinations can also be made between technical features in different embodiments, steps can be implemented in any order, and there are many other variations of the different aspects of one or more embodiments of this specification as described above, which are not included in the details for the sake of brevity. supply.

In addition, for simplicity of illustration and discussion, and so as not to obscure one or more embodiments of the present description, connections to integrated circuit (IC) chips and other components may or may not be shown in the provided figures. Well known power/ground connections. Furthermore, devices may be shown in block diagram form in order to avoid obscuring one or more embodiments of the description, and this also takes into account the fact that details regarding the implementation of these block diagram devices are highly dependent on the implementation of the invention to be implemented. The platform of one or more embodiments is described (ie, the details should be well within the purview of those skilled in the art). Where specific details (eg, circuits) have been set forth to describe example embodiments of the present disclosure, it will be apparent to those skilled in the art that other applications may be made without or with variations from these specific details. One or more embodiments of this specification are implemented below. Accordingly, these descriptions should be regarded as illustrative rather than restrictive.

Although the disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications and variations of those embodiments will be apparent to those of ordinary skill in the art from the foregoing description. For example, other memory architectures such as dynamic RAM (DRAM) may use the discussed embodiments.

The description of one or more embodiments is intended to embrace all such alterations, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omission, modification, equivalent replacement, improvement, etc. made within the spirit and principles of one or more embodiments of this specification shall fall within the protection scope of the present disclosure.

Claims (10)

1. A method for optimizing the generating efficiency of a hybrid vehicle type is characterized by comprising the following steps:

acquiring a plurality of groups of cooling liquid temperature groups;

acquiring power values of all preset points under the non-warming working condition;

and respectively generating a corresponding engine working condition database under the non-warming working condition for each group of cooling liquid temperature groups according to the preset point power value under each non-warming working condition, wherein each engine working condition database comprises the preset point power value under each non-warming working condition and the optimal working condition of the preset point power value under each non-warming working condition.

2. The method for optimizing electric power generation efficiency of a hybrid vehicle type according to claim 1, wherein the step of generating a corresponding database of engine operating conditions under non-warmed-up conditions for each coolant temperature group, respectively, comprises:

generating a plurality of pieces of working condition information corresponding to the preset point power value under the non-warming working condition for the preset point power value under each non-warming working condition;

acquiring the total efficiency of the working condition information according to each piece of working condition information;

and obtaining the working condition information with the highest total efficiency in the working condition information of the preset point power value corresponding to the same non-warming working condition as the optimal working condition of the preset point power value under the non-warming working condition.

3. The method of optimizing the power generation efficiency of a hybrid vehicle type according to claim 2, characterized by further comprising:

acquiring non-preset point power values under each non-warming working condition;

according to the obtained optimal working condition of the preset point power value under the non-warming working condition, obtaining the optimal working condition of the non-preset point power value under the non-warming working condition through a linear interpolation method; wherein,

and the non-preset point power value under each non-warming working condition, the optimal working condition of the non-preset point power value under each non-warming working condition, the preset point power value under each non-warming working condition and the optimal working condition of the preset point power value under each non-warming working condition form an engine working condition database under the non-warming working condition corresponding to the coolant temperature.

4. The method of optimizing electric power generation efficiency of a hybrid vehicle type according to claim 3, wherein each of the coolant temperature groups includes an engine coolant temperature and a generator coolant temperature.

5. The method of optimizing the power generation efficiency of a hybrid vehicle type according to claim 4, characterized by further comprising:

acquiring power values of all preset points under a warming-up working condition;

and generating an engine working condition database under corresponding warming conditions for each group of cooling liquid temperature groups according to the preset point power values under each warming condition, wherein the engine working condition database under each warming condition comprises the preset point power values under each warming condition and the optimal working condition of the preset point power values under each warming condition.

6. The method of optimizing the electric power generation efficiency of a hybrid vehicle type according to claim 5, characterized in that the operating condition information includes an engine torque and an engine speed.

7. The utility model provides a generating efficiency optimizing apparatus of hybrid vehicle type which characterized in that, generating efficiency optimizing apparatus of hybrid vehicle type includes:

the cooling liquid temperature group acquisition module is used for acquiring a plurality of groups of cooling liquid temperature groups;

the device comprises a preset point power value acquisition module, a preset point power value acquisition module and a control module, wherein the preset point power value acquisition module is used for acquiring each preset point power value under the non-warming working condition;

the engine working condition database generating module is used for generating a corresponding engine working condition database under the non-warming working condition for each group of cooling liquid temperature group according to the preset point power value under each non-warming working condition, and each engine working condition database comprises the preset point power value under each non-warming working condition and the optimal working condition of the preset point power value under each non-warming working condition.

8. A running control method of a hybrid vehicle type characterized by controlling the running of the vehicle by the engine operating condition database acquired by the power generation efficiency optimizing method of a hybrid vehicle type according to any one of claims 1 to 6.

9. The running control method of a hybrid vehicle type according to claim 8, characterized in that the running control method of a hybrid vehicle type further comprises:

in the driving process, the driving speed of the vehicle is obtained;

judging whether the running speed of the vehicle is lower than a preset vehicle speed, if so, judging that the running speed of the vehicle is lower than the preset vehicle speed

Acquiring current working condition information to be used according to the engine working condition database under the non-warm working condition or the engine working condition database under the warm working condition;

judging whether the rotating speed of the engine in the working condition information to be used is lower than a preset rotating speed value or not, and if not, judging whether the rotating speed of the engine in the working condition information to be used is lower than the preset rotating speed value or not

And acquiring the preset engine speed and the engine torque corresponding to the preset engine speed.

10. The running control method of a hybrid vehicle type according to claim 9, characterized by further comprising:

in the running process, an engine working condition database is obtained;

acquiring the comprehensive efficiency of the optimal working condition of the preset point power value;

acquiring other working condition data of which the difference value of the comprehensive efficiency of the optimal working condition of the preset point power value is smaller than a threshold value;

and acquiring the lowest engine speed and the corresponding engine torque in the working condition data.

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