电动汽车动力锂电池健康状态的建模与估算
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摘要
复杂路况下,为提高电动汽车锂电池组健康状态SOH(state of health)估算实时性与准确性,通过扩展卡尔曼滤波算法估算荷电状态,结合锂电池组温度与单体锂电池电压,系统判断锂电池组健康状态,提示故障位置并及时更换。结果表明,通过建模对电动汽车锂电池组健康状态估算简单、方便、准确、高效。保证了锂电池处于最佳状态,提高了驾驶的舒适性与安全性,实用性强。
In order to improve the electric vehicle lithium-ion SOH(state of health)estimation the real-time and accuracy under complex road conditions,using extended Kalman filtering algorithm for estimating the state of charge,combined with the temperature of lithium-ion battery and the voltage of single lithium-ion battery,The system can accurately judge the state of health for lithium-ion battery and prompt the fault location to be replaced in time.The results show that the electric vehicle lithium-ion battery health state estimation is simple,convenient,accurate and efficient by modeling.The system can keep the lithium-ion battery at its best and improves the driving comfort and safety,strong practicability.
In order to improve the electric vehicle lithium-ion SOH(state of health)estimation the real-time and accuracy under complex road conditions,using extended Kalman filtering algorithm for estimating the state of charge,combined with the temperature of lithium-ion battery and the voltage of single lithium-ion battery,The system can accurately judge the state of health for lithium-ion battery and prompt the fault location to be replaced in time.The results show that the electric vehicle lithium-ion battery health state estimation is simple,convenient,accurate and efficient by modeling.The system can keep the lithium-ion battery at its best and improves the driving comfort and safety,strong practicability.
引文
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[12]TALHA M,ASGHAR F,KIM S H.A neural network-based robust online SOC and SOH estimation for sealed lead–acid batteries in renewable systems[J].Arabian Journal for Science and Engineering,2018,26(3):2516-2523.
[13]LI J,GAO F,YAN G.Modeling and SOC estimation of lithium iron phosphate battery considering capacity loss[J].Energy Storage across Multiple Energy Systems,2012,27(2):2367-2383.
[14]RIZOUG N,MESBAHI T,SADOUN R.Development of new improved energy management strategies for electric vehicle battery/supercapacitor hybrid energy storage system[J].Energy Efficiency,2018,11(4):1570-1578..
[15]FOTOUHI A,PROPP K.State of charge and state of health estimation over the battery lifespan[J].Behaviour of Lithium-Ion Batteries in Electric Vehicles,2018,11(2):267-288.
[16]LI S,CHEN F,GARG A.Demont R.Design optimization of battery pack enclosure for electric vehicle[J].Structural and Multidisciplinary Optimization,2018,48(5):1615-1624.
[17]刘伟,吴海桑,何志超.一种均衡考虑锂电池内部能量损耗和充电速度的多段恒流充电方法[J].电工技术学报,2017,32(9):113-119.LIU Wei,WU Haisang,HE Zhichao.A multistage current charging method for Li-ion battery considering balance of internal consumtion and charging speed[J].Transactions of China Electrotechnical Society,2017,32(9):113-119.
[18]KRISHNAN S, HARIHARAN, PIYUSH T.Theoretical framework for health estimation using machine learning[J].Mathematical Modeling of Lithium Batteries,2017,29(10):145-173.
[2]张金龙,佟微,孙叶宁,等.锂电池健康状态估算方法综述[J].电源学报,2017,15(2):128-134.ZHANG Jinlong,TONG Wei,SUN Yening,et al.Summarize of lithium battery status of health estimation method[J].Journal of Power Supply,2017,15(2):128-134.
[3]孙冬,许爽.梯次利用锂电池健康状态预测[J].电工技术学报,2018,33(1):72-81.SUN Dong,XU Shuang.State of health prediction of second-use lithium-ion battery[J].Transactions of China Electrotechnical Society,2018,33(9):72-81.
[4]宾洋,于静美,朱英凯等.实时雨流计数法及其在钴酸锂电池健康状态建模中的应用[J].中国电机工程学报,2017,37(2):3627-3635.BING Yang,YU Jingmei,ZHU Yingkai,et al.A real-time rain flow algorithm and its application to state of health modeling for LiCoO2of lithium-ion batteries[J].Proceedings of the CSEE,2017,37(2):3627-3635.
[5]LIU K,LI K,PENG Q,et al.Analysis of transmitter-side control methods in wireless EV charging systems[J].Frontiers of Mechanical Engineering,2018(1):2095-2108.
[6]LIU F,CHEN K,ZHAO Z.Analysis of transmitter-side control methods in wireless EV charging systems[J].Science China Technological Sciences,2018,23(8):1674-1684.
[7]李晓宇,徐佳宁,胡泽徽,等.磷酸铁锂电池梯次利用健康特征参数提取方法[J].电工技术学报,2018,33(1):10-16.LI Xiaoyu,XU Jianing,HU Zehui,et al.Health parameter estimation method for LiFePO4battery echelon use[J].Transactions of China Electrotechnical Society,2018,33(1):10-16.
[8]华俊,邵如平,朱永涛.基于自适应卡尔曼滤波算法的锂电池SOC估算[J].科技通报,2017,33(5):77-80.HUA Jun,SHAO Ruping,ZHU Yongtao.Estimation of SOC of lithium-ion battery based on adaptive extended Kalman filter[J].Bulletin of Science and Technology,2017,33(5):77-80.
[9]肖仁鑫,李沛森,李晓宇,等.基于蚁群神经网络算法的电池健康状态估计[J].电源技术,2017,41(6):916-919.XIAO Renxin,LI Peisen,LI Xiaoyu,et al.State of health estimation fot of lithium-ion battery based on ant colony neural network[J].Chinese Journal of Power Sources,2017,41(6):916-919.
[10]XU J,JIA Y,LI B.A brief review on key technologies in the battery management system of electric vehicles[J].Experimental Mechanics,2018,58(5):2633-2643.
[11]ARMGHAN H,AHMAD I,ALI N.Nonlinear controller analysis of fuel cell-battery-ultracapacitor-based hybrid energy storage systems in electric vehicles[J].Arabian Journal for Science and Engineering,2018,43(6):3123-3133.
[12]TALHA M,ASGHAR F,KIM S H.A neural network-based robust online SOC and SOH estimation for sealed lead–acid batteries in renewable systems[J].Arabian Journal for Science and Engineering,2018,26(3):2516-2523.
[13]LI J,GAO F,YAN G.Modeling and SOC estimation of lithium iron phosphate battery considering capacity loss[J].Energy Storage across Multiple Energy Systems,2012,27(2):2367-2383.
[14]RIZOUG N,MESBAHI T,SADOUN R.Development of new improved energy management strategies for electric vehicle battery/supercapacitor hybrid energy storage system[J].Energy Efficiency,2018,11(4):1570-1578..
[15]FOTOUHI A,PROPP K.State of charge and state of health estimation over the battery lifespan[J].Behaviour of Lithium-Ion Batteries in Electric Vehicles,2018,11(2):267-288.
[16]LI S,CHEN F,GARG A.Demont R.Design optimization of battery pack enclosure for electric vehicle[J].Structural and Multidisciplinary Optimization,2018,48(5):1615-1624.
[17]刘伟,吴海桑,何志超.一种均衡考虑锂电池内部能量损耗和充电速度的多段恒流充电方法[J].电工技术学报,2017,32(9):113-119.LIU Wei,WU Haisang,HE Zhichao.A multistage current charging method for Li-ion battery considering balance of internal consumtion and charging speed[J].Transactions of China Electrotechnical Society,2017,32(9):113-119.
[18]KRISHNAN S, HARIHARAN, PIYUSH T.Theoretical framework for health estimation using machine learning[J].Mathematical Modeling of Lithium Batteries,2017,29(10):145-173.