Study on the SOC Estimation of Power Battery for Electric Vehicle
-
摘要: 电动汽车的电池性能直接影响到整车性能, 而SOC(state of charge)估算是电池管理系统的重要功能, 也是急需解决的技术难点。为了估算锂电池的荷电状态SOC, 基于电池外特性的实验数据, 建立电池等效电路模型。在MATLAB中搭建电池模型, 并研究卡尔曼滤波算法对Ah计量法估算SOC的修正作用。结果表明:所选择的电池复合模型能有效地模拟电池特性, 结合开路电压法、Ah计量法和卡尔曼滤波法的SOC估算算法能有效地解决SOC初值估算不准和累计误差的问题。Abstract: Battery performance directly affects vehicle performance, while SOC estimation is one of the most important functions in electric vehicle battery management system, and which is also a technical key needing to solve. Based on the experimental data of battery characteristics, an equivalent circuit model for lithium battery is established to estimate the SOC of lithium batteries. Constructing the model for battery in Matlab, and the correction effect of Kalman filtering algorithm on the SOC estimation using Ah counting algorithm is studied. The results show that the present model for battery can effectively simulate the battery characteristics. The SOC estimation algorithm combining with the open circuit voltage algorithm, Ah counting algorithm and Kalman filtering algorithm can effectively solve the inaccurate and accumulative error problems of initial SOC.
-
Key words:
- algorithms /
- efficiency /
- electric automobiles
-
[1] Cai C H,Du D,Liu Z Y.Battery state-of-charge(SOC)estimation using adaptive neuro-fuzzy inference system[C]//The IEEE International Conference on Fuzzy Systems,ST.LOU IS MO,USA,2003,12(2):1068-1073 [2] 邵海岳,钟志华,何莉萍,等.电动汽车用NiMH电池建模及基于状态空间的 SOC预测方法[J].汽车工程,2004,26(5):534-537 Shao H Y,Zhong Z H,He L P,et al.Mathematic model for nimh battery in electric vehicle and its SOC estimation based on state space method[J].Automotive Engineering,2004,26(5):534-537(in Chinese) [3] 麻友良,陈全世,齐占宁.电动汽车用电池SOC定义与检测方法[J].清华大学学报(自然科学版),2001,41(11):95-97 Ma Y L,Chen Q S,Qi Z N.Research on the SOC definition and measurement method of batteries used in EVs[J].J Tsinghua Univ(Sci and Tech),2001,41(11):95-97(in Chinese) [4] 林成涛,王军平,陈全世,电动汽车SOC估计方法原理与应用[J].电池,2004,34(5):376-378 Lin C T,Wang J P,Chen Q S.Methods for state of charge estimation of EV batteries and their application[J].Battery Bimonthly,2004,34(5):376-378(in Chinese) [5] 戴海峰,魏学哲,孙泽昌.基于扩展卡尔曼滤波算法的燃料电池车用锂离子动力电池荷电状态估计[J].机械工程学报,2007,143(2):92-95 Dai H F,Wei X Z,Sun Z C.Estimate state of charge of power lithium-ion batteries used on fuel cell hybrid vehicle with method based on extended kalman filtering[J].Chinese Journal of Mechanical Engineering,2007,43(2):92-95(in Chinese) [6] Plett G.Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs.part 1:back-ground[J].Journal of Power Sources,2004,134(2):252-261 [7] Plett G.Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs.part 2:modeling and identification[J].Journal of Power Sources,2004,134(2):262-276 [8] Plett G.Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs.part 3:state and parameter estimation[J].Journal of Power Sources,2004,134(2):277-292 [9] 范波,田晓辉,马建伟.基于EKF的动力锂电池SOC状态预测[J].电源技术,2010,34(8):797-799 Fan B,Tian X H,Ma J W.EKF-based estimation of lithium-ion tracction-battery SOC[J].Journal of Power Sources,2010,34(8):797-799(in Chinese)
点击查看大图
计量
- 文章访问数: 261
- HTML全文浏览量: 31
- PDF下载量: 7
- 被引次数: 0