CN102221678A - On-line life calculation method for battery system - Google Patents
On-line life calculation method for battery system Download PDFInfo
- Publication number
- CN102221678A CN102221678A CN2011101275544A CN201110127554A CN102221678A CN 102221678 A CN102221678 A CN 102221678A CN 2011101275544 A CN2011101275544 A CN 2011101275544A CN 201110127554 A CN201110127554 A CN 201110127554A CN 102221678 A CN102221678 A CN 102221678A
- Authority
- CN
- China
- Prior art keywords
- battery system
- charging
- energy
- total amount
- discharge energy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 27
- 238000007599 discharging Methods 0.000 claims abstract description 39
- 238000000034 method Methods 0.000 claims abstract description 29
- 230000008569 process Effects 0.000 claims abstract description 15
- 230000010354 integration Effects 0.000 claims description 4
- 230000026676 system process Effects 0.000 claims 2
- 230000036541 health Effects 0.000 description 7
- 230000008859 change Effects 0.000 description 5
- 230000015556 catabolic process Effects 0.000 description 4
- 238000006731 degradation reaction Methods 0.000 description 4
- 230000006866 deterioration Effects 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 230000003862 health status Effects 0.000 description 4
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 229910052744 lithium Inorganic materials 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 229910052987 metal hydride Inorganic materials 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000009529 body temperature measurement Methods 0.000 description 1
- OJIJEKBXJYRIBZ-UHFFFAOYSA-N cadmium nickel Chemical compound [Ni].[Cd] OJIJEKBXJYRIBZ-UHFFFAOYSA-N 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003446 memory effect Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
Images
Landscapes
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Tests Of Electric Status Of Batteries (AREA)
Abstract
Description
技术领域technical field
本发明属于新能源汽车的电池系统领域,尤其涉及一种电池系统在线寿命计算方法。The invention belongs to the field of battery systems of new energy vehicles, and in particular relates to a battery system online life calculation method.
背景技术Background technique
能源短缺及环境污染是全世界面临的重大难题,充分利用清洁能源是缓解该问题的有效途径。发展节能、环保汽车已成为世界汽车工业技术创新的重要方向和汽车产业可持续发展的必然选择。电池系统复杂度较高、设计难度大,一直是制约该技术向新能源电动汽车推广应用的瓶颈。Energy shortage and environmental pollution are major problems facing the world, and making full use of clean energy is an effective way to alleviate this problem. The development of energy-saving and environment-friendly automobiles has become an important direction of technological innovation in the world automobile industry and an inevitable choice for the sustainable development of the automobile industry. The high complexity and design difficulty of the battery system have always been the bottleneck restricting the promotion and application of this technology to new energy electric vehicles.
目前应用在新能源汽车上的动力电池类型有:铅酸蓄电池、镍氢电池、镍镉电池和锂电池。锂电池因为具有体积小、能量密度高、储存寿命长、无记忆效应、高电压和自放电率低等优良性能,将取代铅酸电池、镍氢电池,成为动力电池的赢家。The types of power batteries currently used in new energy vehicles include: lead-acid batteries, nickel-metal hydride batteries, nickel-cadmium batteries and lithium batteries. Because of its small size, high energy density, long storage life, no memory effect, high voltage and low self-discharge rate, lithium batteries will replace lead-acid batteries and nickel-metal hydride batteries and become the winner of power batteries.
电池是一个复杂的电化学系统,其劣化失效机理复杂,劣化模式受诸多因素影响,很难以一般的模型来反映。在很多场合使用的电池监测装置只是对浮充电压数据进行检测,通过实际工作发现,依靠单纯的浮充状态数据来准确估计电池的劣化状态是很困难的事,因此利用浮充数据建模也就遇到的障碍。内阻变化是电池性能变坏的重要信息,但内阻值并不能严格对应劣化程度,只能作为参考。电池系统的劣化状况对生产和研究十分重要,因此必须提出一种有效的方法来计算电池系统在线寿命。The battery is a complex electrochemical system, its degradation and failure mechanism is complicated, and the degradation mode is affected by many factors, so it is difficult to reflect it with a general model. The battery monitoring device used in many occasions only detects the floating charge voltage data. Through actual work, it is found that it is very difficult to accurately estimate the deterioration state of the battery relying on pure floating charge state data. Therefore, it is also necessary to use floating charge data to model obstacles encountered. Changes in internal resistance are important information for battery performance deterioration, but the internal resistance value does not strictly correspond to the degree of deterioration and can only be used as a reference. The degradation status of the battery system is very important for production and research, so an effective method must be proposed to calculate the online life of the battery system.
为了提高电池系统在线寿命计算的准确性,防止因电池系统劣化状况而对生产研究造成重大损失,本发明提出了一种电池系统在线寿命计算方法。In order to improve the accuracy of battery system online life calculation and prevent the production research from causing heavy losses due to battery system degradation, the present invention proposes a battery system online life calculation method.
在已有的专利中,也曾有对电池系统在线寿命预测的相关描述,如实用新型名称为估算电池健康状态的方法和装置(专利号200680022995.5)。该专利是利用内电阻估算电池的健康状态的装置和方法,已经发现了内电阻作为对电池健康状态施加最大影响的参数。估算方法包括如下步骤:将SOH估算表存储在存储器中,所述SOH估算表建立了与根据温度和充电状态(SOC)的各种内电阻值相对应的健康状态值;当提出估算电池健康状态的请求时,进行温度测量和电池SOC的估算;检测电池的内电阻值;以及从所述SOH估算表读取与测量温度、所估算的电池SOC以及所检测的电池内电阻值相对应的电池健康状态值。In existing patents, there have also been related descriptions of online life prediction for battery systems, such as a utility model named Method and Device for Estimating Battery Health State (Patent No. 200680022995.5). The patent is a device and method for estimating the state of health of a battery by using internal resistance, and the internal resistance has been found to be the parameter exerting the greatest influence on the state of health of the battery. The estimating method comprises the steps of: storing an SOH estimating table in a memory, said SOH estimating table establishing state of health values corresponding to various internal resistance values according to temperature and state of charge (SOC); When requested, perform temperature measurement and battery SOC estimation; detect the internal resistance value of the battery; and read the battery corresponding to the measured temperature, the estimated battery SOC, and the detected battery internal resistance value from the SOH estimation table. Health status value.
又如发明专利名称为电池健康状态的诊断方法(专利号200610078848),该专利对电池健康状态进行诊断包含步骤如下:提供一电池的放电电压及放电电流数据;设定一预定时间间距及该预定时间间距放电电流变化量的可接受值;分析该预定时间间距内的放电电压及放电电流数据的变化;记录该放电电压、放电电流数据及其变化数据;在放电电流变化量的可接受值内比对该放电电压数据及其变化数据;及将比对结果显示为健康状态诊断指针。Another example is the invention patent titled diagnosis method of battery health status (Patent No. 200610078848). The patent includes the following steps for diagnosing battery health status: providing a battery discharge voltage and discharge current data; setting a predetermined time interval and the predetermined Acceptable value of discharge current change in time interval; analyze the change of discharge voltage and discharge current data within the predetermined time interval; record the discharge voltage, discharge current data and its change data; within the acceptable value of discharge current change Comparing the discharge voltage data and its change data; and displaying the comparison result as a health status diagnosis indicator.
与已有的专利相比较,本专利所述的一种电池系统在线寿命计算方法仅仅通过计算电池系统充电和放电能量的总量就可对电池系统在线寿命进行计算。而上述估算电池健康状态的方法和装置的专利中需要的SOH估算表获取的工作量和难度都较大,受到的不稳定影响因素比较多。特别是当电池劣化程度比较严重时,需要采集的数据更难获取。上述电池健康状态的诊断方法的专利中,如何准确设置放电电流变化量的可接受值比较困难,可接受值选择的不同对电池健康状态的诊断造成较大影响。而本专利通过简单准确的计算电池系统充电和放电能量的总量即可方便地实现对电池系统在线寿命进行计算。Compared with the existing patents, the battery system online life calculation method described in this patent can calculate the battery system online life only by calculating the total amount of charging and discharging energy of the battery system. However, the above method and device for estimating the state of health of the battery require a greater workload and difficulty in obtaining the SOH estimation table, and are affected by many unstable factors. Especially when the battery deterioration is serious, the data to be collected is more difficult to obtain. In the above-mentioned patents on the diagnosis method of the battery health state, it is difficult to accurately set the acceptable value of the discharge current variation, and the selection of the acceptable value has a great impact on the diagnosis of the battery health state. However, in this patent, the online life of the battery system can be calculated conveniently by simply and accurately calculating the total amount of charging and discharging energy of the battery system.
发明内容Contents of the invention
本发明针对现有的技术缺陷,提供一种电池系统在线寿命计算方法,通过计算电池系统充电和放电能量的总量,即可方便地实现电池系统在线寿命计算。Aiming at the existing technical defects, the present invention provides a battery system online life calculation method, which can conveniently realize the battery system online life calculation by calculating the total amount of charging and discharging energy of the battery system.
本发明进一步要解决的技术问题是:考虑如何减少电池自放电、不同温度下的电池容量变化等因素对充放电能量计算造成的影响,从而对电池系统在线寿命进行更准确的计算。The further technical problem to be solved by the present invention is to consider how to reduce the impact of factors such as battery self-discharge and battery capacity changes at different temperatures on the calculation of charging and discharging energy, so as to calculate the online life of the battery system more accurately.
本发明具体采用以下技术方案。The present invention specifically adopts the following technical solutions.
一种电池系统在线寿命计算方法,该方法通过对电池系统每次充电和放电能量进行计算并累加,将电池系统当前已经完成的充电和放电能量的总量与电池系统在整个寿命过程中充电和放电能量的总量进行比较,从而得出电池系统在线寿命;其特征在于,所述方法的步骤如下:An online life calculation method for a battery system. The method calculates and accumulates each charge and discharge energy of the battery system, and combines the total amount of charge and discharge energy that the battery system has currently completed with the charge and discharge energy of the battery system during the entire life of the battery system. The total amount of discharge energy is compared to obtain the online life of the battery system; it is characterized in that the steps of the method are as follows:
(1)根据出厂参数获取电池系统的额定容量(C)和循环次数(N)两个参数,计算出电池系统整个使用寿命过程中充电和放电能量的总量Q00=C×N×2;(1) Obtain the rated capacity (C) and number of cycles (N) of the battery system according to the factory parameters, and calculate the total amount of charging and discharging energy Q 00 =C×N×2 during the entire service life of the battery system;
(2)对在充电过程中流入电池系统的总电流以及在电池系统工作状态即放电过程中流出电池系统的总电流进行积分,并将积分所得数值作为电池系统本次充电或放电能量Qn,所述能量 ,其中,为电池系统充电过程或放电过程中的总电流;(2) Integrate the total current flowing into the battery system during the charging process and the total current flowing out of the battery system during the working state of the battery system, that is, the discharge process, and use the integrated value as the charging or discharging energy Q n of the battery system this time, the energy ,in, The total current during the charging process or discharging process for the battery system;
(3)将电池系统本次充电或放电能量Qn和电池系统本次充放电之前已经完成的充电和放电能量的总量相加,从而得到电池系统目前充电和放电能量的总量Q01=Q1+Q2+…+Qn;(3) Add the current charging or discharging energy Q n of the battery system to the total amount of charging and discharging energy that has been completed before this charging and discharging of the battery system, so as to obtain the total amount of charging and discharging energy of the battery system Q 01 = Q 1 +Q 2 +…+Q n ;
(4)根据步骤(1)得到的电池系统整个使用寿命过程中充电和放电能量的总量Q00和步骤(3)得到的电池系统目前充电和放电能量的总量Q01,计算出电池系(4) According to the total amount of charge and discharge energy Q 00 obtained in step (1) during the entire service life of the battery system and the total amount of charge and discharge energy of the battery system obtained in step (3) Q 01 , calculate the battery system
本发明提出的一种电池系统在线寿命计算方法与现有的计算方法相比,具有以下两个优点:Compared with the existing calculation method, a battery system online life calculation method proposed by the present invention has the following two advantages:
该发明计算在线寿命所需要的输入参数少且通过简单装置就可以采集到,即仅仅通过计算电池系统充电和放电能量的总量就可对电池系统在线寿命进行计算。The invention requires few input parameters to calculate the online life and can be collected by a simple device, that is, the online life of the battery system can be calculated only by calculating the total amount of charging and discharging energy of the battery system.
该发明的计算过程比较简单,不需要很复杂的软硬件设备就可以实现。The calculation process of the invention is relatively simple and can be realized without complicated hardware and software equipment.
附图说明Description of drawings
图1为本发明提出的电池系统在线寿命计算方法整体流程图;Fig. 1 is the overall flowchart of the battery system online life calculation method proposed by the present invention;
图2为本发明提出的电池系统在线寿命计算方法中计算电池系统每次充电和放电能量的流程图;Fig. 2 is a flow chart of calculating the charging and discharging energy of the battery system in the online life calculation method of the battery system proposed by the present invention;
图3为本发明提出的电池系统在线寿命计算方法中计算电池系统当前已经完成的充电和放电能量总和的流程图。Fig. 3 is a flow chart of calculating the sum of the charging and discharging energy of the battery system currently completed in the online life calculation method of the battery system proposed by the present invention.
具体实施方式Detailed ways
本发明提出的电池系统在线寿命计算方法由以下三个部分组成:1、输入电池系统在整个寿命过程中充电和放电能量总和;2、计算电池系统当前已经完成的充电和放电能量总和;3、利用以上两个能量相除获得电池系统的在线寿命。The battery system online life calculation method proposed by the present invention is composed of the following three parts: 1. Input the sum of charging and discharging energy of the battery system during the entire life; 2. Calculate the sum of charging and discharging energy that the battery system has currently completed; 3. The online life of the battery system is obtained by dividing the above two energies.
所述的输入电池系统在整个寿命过程中充电和放电能量总和通过获取电池出厂所标取的额定容量和循环次数两个参数,从而可以计算出电池系统整个使用寿命过程中充电和放电能量总和;The total charge and discharge energy of the input battery system during the entire service life can be calculated by obtaining the two parameters of the rated capacity and cycle times marked by the battery factory, so that the total charge and discharge energy during the entire service life of the battery system can be calculated;
所述的计算电池系统当前已经完成的充电和放电能量总和,首先对每次充放电时流入或流出电池系统的总电流进行积分,并将积分所得数值作为电池系统本次充放电的电量,然后再计算电池系统当前已经完成的所有充电和放电能量总和;The calculation of the sum of the charging and discharging energy that the battery system has completed currently involves first integrating the total current flowing into or out of the battery system during each charging and discharging, and using the value obtained by the integration as the current charging and discharging power of the battery system, and then Then calculate the sum of all the charging and discharging energy that the battery system has currently completed;
所述的利用以上两个能量相除获得电池系统的在线寿命,是通过计算电池系统当前已经完成的充电和放电能量总和占电池系统在整个寿命过程中充电和放电能量总和的比值来得到电池系统的在线寿命。The online service life of the battery system obtained by dividing the above two energies is obtained by calculating the ratio of the total charge and discharge energy of the battery system to the total charge and discharge energy of the battery system during the entire life of the battery system. online lifespan.
以下结合附图对电池系统在线寿命计算方法作进一步说明。The method for calculating the online life of the battery system will be further described below in conjunction with the accompanying drawings.
图1为电池系统在线寿命计算方法整体流程图,该方法首先计算电池系统整个寿命过程中充电和放电能量总和,然后通过对每次流入和流出电池系统的总电流进行积分并累加来计算电池系统当前已经完成的充电和放电能量总和,由以上两个能量总和的比值来预测电池系统在线寿命。具体步骤如下:Figure 1 is the overall flowchart of the online life calculation method of the battery system. This method first calculates the sum of charging and discharging energy during the entire life of the battery system, and then calculates the battery system by integrating and accumulating the total current flowing into and out of the battery system each time. The sum of the charging and discharging energy that has been completed at present, the online life of the battery system is predicted by the ratio of the above two energy sums. Specific steps are as follows:
(1)根据出厂参数获取电池系统的额定容量(C)和循环次数(N)两个参数,计算出电池系统整个使用寿命过程中充电和放电能量的总量Q00=C×N×2;(1) Obtain the rated capacity (C) and number of cycles (N) of the battery system according to the factory parameters, and calculate the total amount of charging and discharging energy Q 00 =C×N×2 during the entire service life of the battery system;
(2)对充电过程中流入电池系统以及电池系统工作状态即放电过程中流出电池系统的总电流进行积分,并将积分所得数值作为电池系统本次充电或放电能量Qn,所述能量,其中,为电池系统充电过程或放电过程中的总电流;(2) Integrate the total current flowing into the battery system during the charging process and the working state of the battery system, that is, the total current flowing out of the battery system during the discharging process, and use the integrated value as the charging or discharging energy Q n of the battery system this time, the energy ,in, The total current during the charging process or discharging process for the battery system;
(3)将电池系统本次充电或放电能量Qn和电池系统本次充放电之前已经完成的充电和放电能量的总量相加,从而得到电池系统目前充电和放电能量的总量Q01=Q1+Q2+…+Qn;(3) Add the current charging or discharging energy Q n of the battery system to the total amount of charging and discharging energy that has been completed before this charging and discharging of the battery system, so as to obtain the total amount of charging and discharging energy of the battery system Q 01 = Q 1 +Q 2 +…+Q n ;
(4)根据步骤(1)得到的电池系统整个使用寿命过程中充电和放电能量的总量Q00和步骤(3)得到的电池系统目前充电和放电能量的总量Q01,计算出电池系统在线寿命。(4) According to the total amount of charge and discharge energy Q 00 obtained in step (1) during the entire service life of the battery system and the total amount of charge and discharge energy of the battery system obtained in step (3) Q 01 , calculate the battery system online life .
图2为本发明提出的电池系统在线寿命计算方法中计算电池系统每次充电和放电能量流程图。总体思路是对流入或流出电池系统的总电流进行积分,并将积分所得到的数值作为电池系统本次(第n次)充放电的能量Qn,具体实现为:检测电池系统充放电工作时电路中总电流,将通过模数转换(ADC)变为数字量(CR),之后以时基确定的速率进行累加(相当于对进行积分),累加结果 (ACR)经过换算后即得到以安时为单位的充放电能量Qn,能量公式为:。模数转换结果和累加后的结果都带有符号位,根据模块连接方式的不同而不同。通过微控制器可以读取ACR值并经过换算后得到真实的充放电能量Qn。Fig. 2 is a flow chart of calculating the energy of each charge and discharge of the battery system in the online life calculation method of the battery system proposed by the present invention. The general idea is to integrate the total current flowing into or out of the battery system, and use the value obtained by the integration as the energy Q n of the current (nth) charge and discharge of the battery system. total current in the circuit ,Will It becomes a digital quantity (CR) through analog-to-digital conversion (ADC), and then accumulates at a rate determined by the time base (equivalent to the Integrate), the cumulative result (ACR) is converted to get the charge and discharge energy Q n in ampere-hours, and the energy formula is: . Both the analog-to-digital conversion result and the accumulated result have a sign bit, which varies according to the way the module is connected. The ACR value can be read by the microcontroller and converted to obtain the real charge and discharge energy Q n .
图3为本发明提出的电池系统在线寿命计算方法中计算电池系统当前已经完成的充电和放电能量总和流程图,将电池系统本次(第n次)充电和放电能量Qn和电池系统本次充放电之前已经完成的充电和放电能量的总量相加,得到电池系统目前最新的充电和放电能量总和Q01。Fig. 3 is a flow chart of calculating the sum of charging and discharging energy of the battery system currently completed in the online life calculation method of the battery system proposed by the present invention. The current (nth) charging and discharging energy Q n of the battery system and the current The total amount of charging and discharging energy that has been completed before charging and discharging is added to obtain the latest sum of charging and discharging energy Q 01 of the battery system.
Claims (1)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101275544A CN102221678A (en) | 2011-05-17 | 2011-05-17 | On-line life calculation method for battery system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011101275544A CN102221678A (en) | 2011-05-17 | 2011-05-17 | On-line life calculation method for battery system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102221678A true CN102221678A (en) | 2011-10-19 |
Family
ID=44778280
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011101275544A Pending CN102221678A (en) | 2011-05-17 | 2011-05-17 | On-line life calculation method for battery system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102221678A (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102721926A (en) * | 2012-03-02 | 2012-10-10 | 友达光电股份有限公司 | Method for evaluating health state of battery cell |
| CN105158699A (en) * | 2015-09-14 | 2015-12-16 | 北京新能源汽车股份有限公司 | Battery health state detection method and device |
| CN106154163A (en) * | 2015-03-12 | 2016-11-23 | 重庆邮电大学 | Battery life state identification method |
| CN107607875A (en) * | 2017-08-15 | 2018-01-19 | 北京智行鸿远汽车有限公司 | Lithium battery SOH methods of estimation based on cycle-index statistics |
| CN109613445A (en) * | 2018-12-28 | 2019-04-12 | 蜂巢能源科技有限公司 | A method and device for estimating the state of health of a power battery |
| CN110673036A (en) * | 2019-07-24 | 2020-01-10 | 广州中国科学院计算机网络信息中心 | Vehicle fault early warning method and system based on OBD computing technology |
| CN113589188A (en) * | 2021-08-12 | 2021-11-02 | 湖北亿纬动力有限公司 | Battery life evaluation method, device and system |
| CN117420468A (en) * | 2023-11-08 | 2024-01-19 | 广东电网有限责任公司 | Battery status assessment method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1205083A (en) * | 1995-11-29 | 1999-01-13 | 欧姆龙株式会社 | Battery life measuring device and battery life measuring method |
| US20030023100A1 (en) * | 1999-12-27 | 2003-01-30 | Matthias Gerlach | Substituted pyrrole mannich bases to combat pain and allergic reactions |
| US20030231006A1 (en) * | 2002-06-12 | 2003-12-18 | Kazuo Tojima | Deterioration degree calculating apparatus and deterioration degree calculating method for a battery |
| CN101634687A (en) * | 2008-07-23 | 2010-01-27 | 比亚迪股份有限公司 | A method for measuring the SOC value of a hybrid electric vehicle battery |
| CN102057289A (en) * | 2008-07-02 | 2011-05-11 | 松下电器产业株式会社 | Life span estimation method for a lead acid battery and a power supply system |
-
2011
- 2011-05-17 CN CN2011101275544A patent/CN102221678A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1205083A (en) * | 1995-11-29 | 1999-01-13 | 欧姆龙株式会社 | Battery life measuring device and battery life measuring method |
| US20030023100A1 (en) * | 1999-12-27 | 2003-01-30 | Matthias Gerlach | Substituted pyrrole mannich bases to combat pain and allergic reactions |
| US20030231006A1 (en) * | 2002-06-12 | 2003-12-18 | Kazuo Tojima | Deterioration degree calculating apparatus and deterioration degree calculating method for a battery |
| CN102057289A (en) * | 2008-07-02 | 2011-05-11 | 松下电器产业株式会社 | Life span estimation method for a lead acid battery and a power supply system |
| CN101634687A (en) * | 2008-07-23 | 2010-01-27 | 比亚迪股份有限公司 | A method for measuring the SOC value of a hybrid electric vehicle battery |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102721926A (en) * | 2012-03-02 | 2012-10-10 | 友达光电股份有限公司 | Method for evaluating health state of battery cell |
| CN102721926B (en) * | 2012-03-02 | 2014-08-27 | 友达光电股份有限公司 | Method for evaluating health state of battery cell |
| CN106154163A (en) * | 2015-03-12 | 2016-11-23 | 重庆邮电大学 | Battery life state identification method |
| CN106154163B (en) * | 2015-03-12 | 2019-03-26 | 重庆邮电大学 | Battery life state identification method |
| CN105158699A (en) * | 2015-09-14 | 2015-12-16 | 北京新能源汽车股份有限公司 | Battery health state detection method and device |
| CN105158699B (en) * | 2015-09-14 | 2018-05-25 | 北京新能源汽车股份有限公司 | Battery health state detection method and device |
| CN107607875A (en) * | 2017-08-15 | 2018-01-19 | 北京智行鸿远汽车有限公司 | Lithium battery SOH methods of estimation based on cycle-index statistics |
| CN109613445A (en) * | 2018-12-28 | 2019-04-12 | 蜂巢能源科技有限公司 | A method and device for estimating the state of health of a power battery |
| CN109613445B (en) * | 2018-12-28 | 2021-05-25 | 蜂巢能源科技有限公司 | A method and device for estimating the state of health of a power battery |
| CN110673036A (en) * | 2019-07-24 | 2020-01-10 | 广州中国科学院计算机网络信息中心 | Vehicle fault early warning method and system based on OBD computing technology |
| CN113589188A (en) * | 2021-08-12 | 2021-11-02 | 湖北亿纬动力有限公司 | Battery life evaluation method, device and system |
| CN117420468A (en) * | 2023-11-08 | 2024-01-19 | 广东电网有限责任公司 | Battery status assessment method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103163480B (en) | The appraisal procedure of lithium battery health status | |
| CN108375739B (en) | State-of-charge estimation method and state-of-charge estimation system for electric vehicle lithium batteries | |
| CN103259055B (en) | The correction circuit of the electric vehicle battery group OCV-SOC curve of a kind of convenient operation and method | |
| CN102230953B (en) | Method for predicting left capacity and health status of storage battery | |
| CN103257323B (en) | A kind of method of estimation of lithium ion battery residue utilisable energy | |
| CN103399276B (en) | A kind of capacity of lithium ion battery is estimated and cycles left life-span prediction method | |
| CN106772072B (en) | A kind of SOC estimation method and device based on battery behavior curve | |
| CN110061531B (en) | Energy storage battery equalization method | |
| CN103728563B (en) | A kind of measuring method of cell health state | |
| CN105319515B (en) | Charge states of lithium ion battery and health status joint estimate method | |
| CN102221678A (en) | On-line life calculation method for battery system | |
| CN102347517B (en) | Adaptive SOC (state of charge) estimation method and system of service life state | |
| CN105607004B (en) | A kind of lithium ion battery packet health state evaluation method and system | |
| CN109507611B (en) | SOH correction method and system for electric vehicle | |
| KR101419130B1 (en) | Battery management system and battery management method | |
| CN101634687B (en) | Method for measuring SOC value of battery of hybrid vehicle | |
| CN104459551A (en) | Electric vehicle power battery state-of-energy estimation method | |
| CN111352032A (en) | A method for predicting dynamic peak power of lithium battery | |
| CN103529397B (en) | A kind of method estimating battery electric quantity and battery electric quantity management system | |
| CN104597405A (en) | Method for detecting electric quantity of lithium ion battery for electric vehicle | |
| CN111308356A (en) | SOC estimation method with weighted ampere-hour integration | |
| CN107045104B (en) | An online estimation method of lithium titanate battery capacity | |
| CN104297578B (en) | Ultracapacitor group state-of-charge method of estimation based on sliding mode observer | |
| CN102645638A (en) | SOC (Stress Optical Coefficient) estimating method of lithium battery pack | |
| CN117791812A (en) | An active equalization control method and system for charge and discharge of sodium battery pack |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20111019 |








