基于SOC-OCV曲线特征的SOH估计方法研究

doi:10.19562/j.chinasae.qcgc.2019.010.008

Abstract

Abstract: State of health (SOH) is one of the state parameters in lithium-ion battery management system, which affects the accuracy of state of charge (SOC) and state of power (SOF) . In this paper, a new SOH estimation method is proposed from the thermodynamic perspective by tracing the evolution law of the SOC-OCV curve characteristics. In this paper, the relationship between SOH and SOC-OCV curve characteristic parameters is constructed and the accuracy of the proposed SOH estimation method is verified using the experimental data of the cycle life of the lithium ion battery with ternary lithium manganate composite as the positive electrode. The experimental results show that the SOH estimation accuracy is within ±1.5% while SOH declines from 100% to 50%

Key words: lithium-ion battery; SOH estimation; battery degradation; SOC-OCV modeling

Liu Yixin, Zhang Di, Li Xue & Han Zhiqiang. A Research on SOH Estimation Method Based on SOC-OCV Curve Characteristics[J].Automotive Engineering, 2019, 41(10): 1158-1163.

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A Research on SOH Estimation Method Based on SOC-OCV Curve Characteristics

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