锂离子电池健康状态新型测定方法
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摘要
电池健康状态(SOH)是电池当前性能与残值评估的一个重要参量。分析SOH经典模型优缺点,提出一个新的改进模型。该模型用内阻来表征能量损耗,对识别方法进行描述。通过对松下NCR18650B电池进行加速衰老测试验证模型的正确性,对测得的内阻值使用origin软件中的最小二乘法一次线性拟合进行分析处理,得出SOH与内阻值的关系表达式,建立内阻值与电池SOH的对应关系,线性拟合度都在96%以上,验证了使用内阻描述SOH是可行的。该模型测试方法及参数识别简单,同时具备快捷等优点。
Battery health status(SOH) is an important parameter for evaluating current battery performance andresidual value. The advantages and disadvantages of SOH classical model were analyzed, and a new improvedmodel is proposed. Energy loss was represented through internal resistance by the model, and the identificationmethod was described. The correctness of the model was validated through the accelerated aging test of Panasonicbattery NCR18650 B, the origin's least-squares linear fitting was used to analyze and process the measured internalresistance values, then the relational expression between SOH and internal resistance was obtained. Thecorresponding relationship between internal resistance value and battery SOH was established, the linear fittingdegree was above 96%, and the feasibility of the describing SOH with internal resistance was proved. The method ofmodel test and parameter identification is simple and with the advantage of fast, etc.
Battery health status(SOH) is an important parameter for evaluating current battery performance andresidual value. The advantages and disadvantages of SOH classical model were analyzed, and a new improvedmodel is proposed. Energy loss was represented through internal resistance by the model, and the identificationmethod was described. The correctness of the model was validated through the accelerated aging test of Panasonicbattery NCR18650 B, the origin's least-squares linear fitting was used to analyze and process the measured internalresistance values, then the relational expression between SOH and internal resistance was obtained. Thecorresponding relationship between internal resistance value and battery SOH was established, the linear fittingdegree was above 96%, and the feasibility of the describing SOH with internal resistance was proved. The method ofmodel test and parameter identification is simple and with the advantage of fast, etc.
引文
[1] BERECIBAR M, GANDIAGA I, VILLARREAL I, et al. Criticalreview of state of health estimation methods of Li-ion batteries forreal applications[J]. Renewable and Sustainable Energy Reviews,2015, 56(3):572-587.
[2] BARR魪A, DEGUILHEM B, GROLLEAU S, et al. A review onlithium-ion battery ageing mechanisms and estimations for automo-tive applications[J]. Journal of Power Sources, 2013, 15(7):680-689.
[3] HUHMAN B M, HEINZEL J M, et al. Investigation into state-of-health impedance diagnostic for 26650 4P1S battery packs[J].Journal of the Electrochemical Eociety, 2017, 17(13):A6401-A6411.
[4] ANDRE D, APPEL C, SOCZKA-GUTH T, et al. Advanced mathe-matical methods of SOC and SOH estimation for lithium-ion bat-teries[J]. Journal of Power Sources, 2013, 224(5):20-27.
[5] ECKER M, GERSCHLER J B, VOGEL J, et al. Development of alifetime prediction model for lithium-ion batteries based on ex-tended accelerated aging test data[J]. Journal of Power Sources,2012, 215(5):248-257.
[6]李勇,王丽芳,廖承林.电动车锂离子电池健康状态模型研究进展[J].电源技术,2013,37(5):863-866.
[7] BARRE A, DEGUILHEM B, GROLLEAU S, et al. A review onlithium-ion battery ageing mechanisms and estimations for auto-motive applications[J]. Jounal of Power Sources, 2013, 241:680-689.
[8]李莉淼,吕岩铿.离子电池负极衰减机理的研究进展[J].电源技术,2017,41(2):318-320.
[9]付延鲍,马晓华,马若彪.LiBOB/PC电解液形成SEI膜的过程[J].电池,2008,38(1):11-13.
[2] BARR魪A, DEGUILHEM B, GROLLEAU S, et al. A review onlithium-ion battery ageing mechanisms and estimations for automo-tive applications[J]. Journal of Power Sources, 2013, 15(7):680-689.
[3] HUHMAN B M, HEINZEL J M, et al. Investigation into state-of-health impedance diagnostic for 26650 4P1S battery packs[J].Journal of the Electrochemical Eociety, 2017, 17(13):A6401-A6411.
[4] ANDRE D, APPEL C, SOCZKA-GUTH T, et al. Advanced mathe-matical methods of SOC and SOH estimation for lithium-ion bat-teries[J]. Journal of Power Sources, 2013, 224(5):20-27.
[5] ECKER M, GERSCHLER J B, VOGEL J, et al. Development of alifetime prediction model for lithium-ion batteries based on ex-tended accelerated aging test data[J]. Journal of Power Sources,2012, 215(5):248-257.
[6]李勇,王丽芳,廖承林.电动车锂离子电池健康状态模型研究进展[J].电源技术,2013,37(5):863-866.
[7] BARRE A, DEGUILHEM B, GROLLEAU S, et al. A review onlithium-ion battery ageing mechanisms and estimations for auto-motive applications[J]. Jounal of Power Sources, 2013, 241:680-689.
[8]李莉淼,吕岩铿.离子电池负极衰减机理的研究进展[J].电源技术,2017,41(2):318-320.
[9]付延鲍,马晓华,马若彪.LiBOB/PC电解液形成SEI膜的过程[J].电池,2008,38(1):11-13.