CN102347517A - Adaptive SOC (state of charge) estimation method and system of service life state - Google Patents
Adaptive SOC (state of charge) estimation method and system of service life state Download PDFInfo
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Abstract
The invention provides an adaptive SOC (state of charge) estimation method a service life state of a power battery. According to the algorithm, the current, voltage and temperature information collected are processed through establishing a service life adaptive model so as to achieve the purpose of accurately estimating the SOC of the power battery. In the invention, the battery state is divided into a static state and a dynamic state, and estimation parameters are adaptively regulated according to the conditions under the different states so as to estimate the SOC of the battery. According to the invention, the SOC of the power battery under the different states is accurately estimated, thereby preventing the generation of over-charge and over-discharge condition of the battery in the use process and reaching the purposes of improving the use safety and service life of the battery.
Description
Technical field
The invention belongs to the battery system field of new-energy automobile, relate to the evaluation method of a kind of electrokinetic cell SOC.
Background technology
Along with global climate progressively worsens, urban atmospheric pollution aggravates and petroleum resources consume excessively, development energy-saving and environmental protection automobile has become the important directions of world car industrial technology innovation and the inevitable choice of automobile industry sustainable development.The progressively development of new-energy automobile enlarges, and the electrokinetic cell type that is applied at present on the new-energy automobile has: lead acid accumulator, Ni-MH battery, nickel-cadmium cell and lithium battery.Be safety, the function admirable that can ensure battery; Prolong the useful life of battery; Must carry out reliable and effective management to battery; Battery SOC is one of most important parameter of characterizing battery state; Estimating battery state-of-charge SOC just can be good at managing battery accurately, ensures the useful life of safety, performance and the prolongation battery of battery.
In existing patent; The description of estimating battery SOC method was also once arranged; The patent 200910144366.5 that is called a kind of hybrid-power battery SOC self-adaptive control method like name; It is by state-of-charge SOC interval division; The regenerative braking energy that additional SOC and electric power generation pattern reclaim that recovers energy is made a distinction; Wherein the energy of electric power generation recovery only is used for doing the efficient process auxiliary drive; Reasonably controlled the use of hybrid power energy; But it does not distinguish the residing state of battery is static state or dynamic; It all is the estimation of down battery SOC being carried out dynamically; The feature that battery state different table of living in reveals also is very different, only at the dynamic following SOC of estimating battery accurately.
Summary of the invention
The present invention has proposed a kind of service life state self-adaptation type SOC evaluation method for remedying above-mentioned defective.
The objective of the invention is to propose a kind of method that is used for SOC under the different service life states of accurate estimating battery; It can be under the static state at battery; Through sense temperature, open circuit voltage with according to the SOC value under the accurate estimating battery static state of the total charge/discharge electricity amount information of battery; Also can be in dynamically down simultaneously, through sensory current, temperature, voltage with according to the SOC value of the accurate estimating battery of the total charge/discharge electricity amount information of battery under dynamically at battery.
In order to reach above-mentioned purpose of the present invention, the present invention adopts following technical scheme:
A kind of service life state self-adaptation type SOC evaluation method, its realization comprises following step: detect battery temperature in the initial moment, and obtain temperature parameter through temperature; Measure battery open circuit voltage (OCV) value; And utilize the total charge/discharge electricity amount of these parameters and battery to come the SOC value of estimating battery.
According to the present invention, this algorithm more may further comprise the steps:
At first gather current value I, be used for this electric current of ampere-hour integration during the estimating battery SOC, and the total charge/discharge electricity amount of counting cell, and then utilize total charge/discharge electricity amount to estimate the attenuation state of battery capacity; Next gathers total voltage V, and passes through I, V and time T calculating voltage transformation rate, and comes the conversion efficiency of counting cell energy according to these parameters; Come the internal resistance of counting cell and estimate its open circuit voltage through capacity attenuation state, total voltage value, I, voltage transformation speed and energy conversion efficiency once more; Calculate the corrected parameter of battery through parameter model estimation device at last and to previous moment SOC
T-1Revise and obtain current time SOC
tAnd store in the EEPROM.
In order to reach the object of the invention, also need adopt the auxiliary equipment of some estimation SOC values, comprising: temperature sensor is used to measure the temperature of battery; The voltage acquisition device is used for the voltage of real-time collection battery; Current sensor is used to measure charging and discharging currents; Also has controller, the SOC value that it obtains battery through analysis and processing estimation to acquired signal and battery storage information.
The present invention handles battery current, voltage and the temperature information gathered through setting up the service life state adaptive model, reaches the purpose of accurate estimation electrokinetic cell SOC.The present invention is static and dynamic through battery status is divided into; The estimation of self adaptation adjustment according to circumstances parameter is estimated battery SOC under different conditions; Prevented in the use over-charging of battery after the generation of condition to one's heart's content, thereby reached the purpose that improves safe in utilization and life-span of battery.
Description of drawings
A kind of service life state self-adaptation type SOC evaluation method master-plan block diagram that Fig. 1 proposes for the present invention;
A kind of service life state self-adaptation type SOC evaluation method program flow diagram that Fig. 2 proposes for the present invention.
Embodiment
As shown in Figure 1, a kind of service life state self-adaptation type SOC evaluation method of the present invention comprises signal acquisition module, the estimation block based on parameter, memory module and SOC algoritic module.Wherein signal acquisition module is responsible for accurate temperature, electric current, the information of voltage of gathering battery; Memory is responsible for the variable condition and the state of each parameter information in order to better tracking battery of storage battery; Be responsible for obtaining the corrected parameter of SOC according to the information calculations of state before the battery in current battery information that collects and the memory based on the estimation block of parameter; The SOC algoritic module is responsible for current SOC value is handled and estimated to battery current states information and corrected parameter.
As shown in Figure 2, implementation process of the present invention is following:
The first, measure the temperature of battery, obtain temperature parameter through temperature computation;
The second, it is static still dynamic to judge that through the situation of electric current battery is in;
When battery is in static state:
At first measure OCV, then according to SOC
T-1, OCV and temperature parameter obtain the corrected parameter of battery and the SOC value revised, and obtains current SOC
tAnd store in the EEPROM;
When battery is in when dynamic:
At first gather electric current I, utilize the ampere-hour integration method to estimate current SOC, the total charge/discharge electricity amount of counting cell, and then the attenuation state of estimating battery capacitance simultaneously;
Next gathers total voltage V, calculates voltage transformation speed according to electric current I, V and T, and the conversion efficiency of estimating battery energy;
The state of the battery capacity decay that obtains more than the basis once more, total voltage V, electric current I, voltage changing rate Ku and energy conversion efficiency are come the internal resistance R of counting cell, and the open circuit voltage of estimating battery;
The last corrected parameter that calculates battery according to the battery open circuit voltage of battery capacity attenuation state, temperature parameter, total voltage V, voltage changing rate Ku, internal resistance of cell R and estimation is to previous moment SOC
T-1Revise and obtain current time SOC
tAnd store in the EEPROM.
Claims (2)
1. an electrokinetic cell service life state self-adaptation type SOC evaluation method is characterized in that, said method is that battery status is divided into static state with dynamic, the SOC value that self adaptation adjustment estimation parameter is come estimating battery under different state;
At first detect the temperature of battery, and according to battery temperature accounting temperature parameter, it is static still dynamic to judge that according to the situation of electric current battery is in then;
When judging that battery status is static:
At first measure OCV, then according to previous moment SOC
T-1, OCV and temperature parameter obtain the corrected parameter of battery and the SOC value revised, and obtains current time SOC
tAnd store in the EEPROM;
When judging that battery status is dynamic:
At first gather electric current I, utilize peace formula integration method estimation current time SOC
t, the total charge/discharge electricity amount of counting cell, and then the attenuation state of estimating battery capacitance simultaneously;
Next gathers total voltage V, calculates voltage transformation speed according to electric current I, V and T, and the conversion efficiency of estimating battery energy;
The state of the battery capacity decay that obtains more than the basis once more, total voltage V, electric current I, voltage changing rate Ku and energy conversion efficiency are come the internal resistance R of counting cell, and the open circuit voltage of estimating battery;
The last corrected parameter that calculates battery according to the battery open circuit voltage of battery capacity attenuation state, temperature parameter, total voltage V, voltage changing rate Ku, internal resistance of cell R and estimation is to previous moment SOC
T-1Revise and obtain current time SOC
tAnd store in the EEPROM.
2. a system that realizes the described electrokinetic cell service life state of claim 1 self-adaptation type SOC estimation is characterized in that: comprise signal acquisition module, the estimation block based on parameter, memory module and SOC algoritic module; Wherein,
Signal acquisition module is used for gathering accurately temperature, electric current, the information of voltage of battery;
Memory is used for the variable condition and the state of each parameter information in order to better tracking battery of storage battery;
Based on the estimation block of parameter, be used for obtaining the corrected parameter of SOC according to the information of state before the battery in current battery information that collects and the memory;
The SOC algoritic module handles to estimate current SOC value according to battery current state information and corrected parameter.
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| CN103308864A (en) * | 2013-07-09 | 2013-09-18 | 中国人民解放军国防科学技术大学 | Method for estimating secondary cell SOH value and testing residual service life |
| CN103424710A (en) * | 2012-05-25 | 2013-12-04 | 通用汽车环球科技运作有限责任公司 | Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model |
| CN104360280A (en) * | 2014-11-13 | 2015-02-18 | 广东欧赛能源与自动化技术有限公司 | Battery surplus capacity calculating method based on AGV |
| CN105093114A (en) * | 2015-03-02 | 2015-11-25 | 北京交通大学 | Battery online modeling and state of charge combined estimating method and system |
| WO2017016385A1 (en) * | 2015-07-27 | 2017-02-02 | 中兴通讯股份有限公司 | Estimation method and apparatus for state-of-charge value of battery |
| CN106501726A (en) * | 2016-11-18 | 2017-03-15 | 新誉集团有限公司 | The evaluation method of battery charge state, battery management system and SOC estimation method |
| CN106802394A (en) * | 2017-02-06 | 2017-06-06 | 清华大学深圳研究生院 | The modification method and device of automobile batteries state-of-charge |
| WO2017092005A1 (en) * | 2015-12-03 | 2017-06-08 | SZ DJI Technology Co., Ltd. | System and method for determining operational status of battery |
| CN106932728A (en) * | 2017-03-31 | 2017-07-07 | 奇瑞汽车股份有限公司 | Battery charge state SOC modification methods, device and electric automobile |
| CN107167738A (en) * | 2017-04-21 | 2017-09-15 | 华南理工大学 | A kind of modification method and device of the electrokinetic cell SOC estimations based on OCV SOC curvilinear characteristics |
| CN107957558A (en) * | 2017-12-01 | 2018-04-24 | 宋绍哲 | A kind of energy-storage system SOC on-line correction systems |
| CN108802616A (en) * | 2017-04-27 | 2018-11-13 | 苏州宝时得电动工具有限公司 | Electrical equipment and its battery capacity management method and system |
| CN109660808A (en) * | 2018-12-21 | 2019-04-19 | 李丹桂 | Video encoder and corresponding terminal based on big data storage |
| CN109904533A (en) * | 2017-12-11 | 2019-06-18 | 奥动新能源汽车科技有限公司 | The battery life analysis system and method for battery for electric automobile packet |
| CN110579714A (en) * | 2019-07-26 | 2019-12-17 | 西安科技大学 | Battery SOC (state of charge) two-state switching estimation method based on BAS (base-based optimization) ElmanNN-AH method |
| CN110807563A (en) * | 2020-01-07 | 2020-02-18 | 广东招才通信息科技有限公司 | Big data-based equipment life prediction system and method |
| CN111976542A (en) * | 2020-09-01 | 2020-11-24 | 广东高标电子科技有限公司 | SOC estimation method and device for lead-acid battery of electric vehicle |
| CN113386624A (en) * | 2020-03-12 | 2021-09-14 | 宁德时代新能源科技股份有限公司 | Method, device and equipment for setting SOC threshold of transport means |
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| CN103424710A (en) * | 2012-05-25 | 2013-12-04 | 通用汽车环球科技运作有限责任公司 | Modeling changes in the state-of-charge open circuit voltage curve by using regressed parameters in a reduced order physics based model |
| CN103424710B (en) * | 2012-05-25 | 2016-08-10 | 通用汽车环球科技运作有限责任公司 | For monitoring the method and system that the performance of the aged monomer in set of cells changes |
| CN103308864A (en) * | 2013-07-09 | 2013-09-18 | 中国人民解放军国防科学技术大学 | Method for estimating secondary cell SOH value and testing residual service life |
| CN104360280A (en) * | 2014-11-13 | 2015-02-18 | 广东欧赛能源与自动化技术有限公司 | Battery surplus capacity calculating method based on AGV |
| CN105093114B (en) * | 2015-03-02 | 2017-12-08 | 江苏卓岸电源科技有限公司 | The combined estimation method and system of a kind of battery line modeling and state-of-charge |
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| WO2017016385A1 (en) * | 2015-07-27 | 2017-02-02 | 中兴通讯股份有限公司 | Estimation method and apparatus for state-of-charge value of battery |
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| CN106501726B (en) * | 2016-11-18 | 2018-12-18 | 新誉集团有限公司 | The SOC estimation method of battery charge state |
| CN106501726A (en) * | 2016-11-18 | 2017-03-15 | 新誉集团有限公司 | The evaluation method of battery charge state, battery management system and SOC estimation method |
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| CN106802394A (en) * | 2017-02-06 | 2017-06-06 | 清华大学深圳研究生院 | The modification method and device of automobile batteries state-of-charge |
| CN106932728A (en) * | 2017-03-31 | 2017-07-07 | 奇瑞汽车股份有限公司 | Battery charge state SOC modification methods, device and electric automobile |
| CN106932728B (en) * | 2017-03-31 | 2019-09-20 | 奇瑞新能源汽车技术有限公司 | Battery charge state SOC modification method, device and electric car |
| CN107167738A (en) * | 2017-04-21 | 2017-09-15 | 华南理工大学 | A kind of modification method and device of the electrokinetic cell SOC estimations based on OCV SOC curvilinear characteristics |
| CN107167738B (en) * | 2017-04-21 | 2019-08-20 | 华南理工大学 | A kind of modification method and device of the power battery SOC estimation based on OCV-SOC curvilinear characteristic |
| CN108802616A (en) * | 2017-04-27 | 2018-11-13 | 苏州宝时得电动工具有限公司 | Electrical equipment and its battery capacity management method and system |
| CN107957558A (en) * | 2017-12-01 | 2018-04-24 | 宋绍哲 | A kind of energy-storage system SOC on-line correction systems |
| CN109904533A (en) * | 2017-12-11 | 2019-06-18 | 奥动新能源汽车科技有限公司 | The battery life analysis system and method for battery for electric automobile packet |
| CN109660808A (en) * | 2018-12-21 | 2019-04-19 | 李丹桂 | Video encoder and corresponding terminal based on big data storage |
| CN110579714A (en) * | 2019-07-26 | 2019-12-17 | 西安科技大学 | Battery SOC (state of charge) two-state switching estimation method based on BAS (base-based optimization) ElmanNN-AH method |
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Effective date of registration: 20181127 Address after: 400023, No. 260, Jianxin East Road, Jiangbei District, Chongqing Co-patentee after: Chongqing Chang'an New Energy Automobile Co., Ltd. Patentee after: Chongqing Changan Automobile Co., Ltd. Co-patentee after: Chongqing University of Posts and Telecommunications Co-patentee after: Hefei Changan Automobile Co., Ltd. Address before: 400023, No. 260, Jianxin East Road, Jiangbei District, Chongqing Co-patentee before: Chongqing Chang'an New Energy Automobile Co., Ltd. Patentee before: Chongqing Changan Automobile Co., Ltd. Co-patentee before: Chongqing University of Posts and Telecommunications |