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基于安时法的镍氢电池SOC估计误差校正 被引量:53

State of Charge Estimation Calibration for Ni-MH Battery Based on Ampere-Hour Method
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摘要 针对安时积分法对镍氢电池SOC估计时存在的累积误差,分别对镍氢电池组进行了不同倍率下的恒流充放电试验和循环工况试验,研究电动车辆长时间运行时电流传感器的测量误差对安时法估计镍氢电池SOC的影响。通过分析试验系统中采用的不同电流传感器的精度,对镍氢电池管理系统中的电流传感器进行了建模,给出了普通精度电流传感器进行安时法估计镍氢电池SOC时的校正方法。仿真与试验的对比结果表明该校正方法可以减小普通精度电流传感器用于安时法估计镍氢电池SOC时产生的累积误差,降低了安时法估计镍氢电池SOC的校准频率。 For the accumulated error of SOC estimation based on Ampere-hour method, a series of charge-discharge experiments with constant currents and over NEDC, FUDS, DST driving cycles were carried out on nickel-hydrogen batteries. The impact of accumulated measurement error of current sensor on Ampere-hour method was studied when electric vehicles run for a long time. In this paper, Ampere-hour method is simulated for the three kinds of driving cycles and a calibration method for Ampere-hour method when using current sensor with general accuracy is studied. The comparison between simulation and experiment results shows that the method greatly reduces the impact of the current sensor measurement error on Ampere-hour method, and the calibration frequency of Ampere-hour method.
出处 《电工技术学报》 EI CSCD 北大核心 2012年第6期12-18,共7页 Transactions of China Electrotechnical Society
关键词 电流传感器 安时法 SOC估计 镍氢电池 校正 Current sensor, ampere-hour method, state of charge(SOC) estimation, Ni-MH battery,calibration
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  • 1朱元,韩晓东,田光宇.电动汽车动力电池SOC预测技术研究[J].电源技术,2000,24(3):153-156. 被引量:69
  • 2吴红杰,齐铂金,郑敏信,陈波,舒伟辉.混合动力电动车电池荷电状态描述方法[J].北京航空航天大学学报,2005,31(2):223-226. 被引量:3
  • 3Lu R G, Wu G L,Ma R, et al. Model based state of charge estimation method for ultra-capacitor[C]. Proceedings of the IEEE Vehicle Power and Propulsion Conference, 2008:1-4.
  • 4Rodrigues S, Munichandraiah N, Shukla A K. A review of state-of-charge indication of batteries by means of AC impedance measurements[J]. Journal of Power Sources, 2000, 87(1): 12-20.
  • 5Huet F. A review of impedance measurements for determination of the state-of-charge or state-of-health of secondary batteries[J]. Journal of Power Sources, 1998, 70 (1): 59-69.
  • 6Ehret C, Piller S, Schroer W. State-of-charge determination for lead-acid batteries in PV-applications[C]. Proceedings of the European Photovoltaic Solar Energy Conference, 2000: 1-4.
  • 7Tsutomu Y, Kazuaki S, Ken ichiro M. Estimation of the residual capacity of sealed lead-acid batteries by neural network[C]. Proceedings of the Telecommunications Energy Conference, 1998: 210-214.
  • 8Gregory L P. Kalman-filter SOC estimation for LIB cells[C]. Proceedings of the International Electric Vehicle Symposium, 2002: 1-4.
  • 9Sabine P, Marion P, Andreas J. Methods for state-of- charge determination and their applications[J]. Journal of Power Sources, 2001, 96(1): 113-120.
  • 10麻友良,陈全世,朱元.变电流下的电池荷电状态定义方法探讨[J].电池,2001,31(1):7-9. 被引量:21

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