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Development of status detection method of lithium-ion rechargeable battery for hybrid electric vehicles
Journal of Power Sources ( IF 8.1 ) Pub Date : 2020-09-14 , DOI: 10.1016/j.jpowsour.2020.228760
Yohei Kawahara , Kei Sakabe , Ryohei Nakao , Kenichiro Tsuru , Keiichiro Okawa , Yoshinori Aoshima , Akihiko Kudo , Akihiko Emori

In order to maximize the performance of lithium ion batteries, we have developed a new method for detecting the status of hybrid electric vehicle (HEV) batteries. The method obtains an accurate state of charge (SOC) by combining the SOC based on open circuit voltage (OCV) and the SOC based on current integration. In addition to that, our method has an auto-tuning function, which is realized by relatively simple processing, for the characteristic parameter of batteries. Our method can also obtain the state of health (SOH) by watching the tuned characteristic parameter. We perform simulation evaluations of our method with a battery model, and we confirm that the SOC error is less than 5% even if SOH set in the battery model and in our method are under mismatched condition. We also confirm that the SOH gradually converges to the true value and SOC error is improved by performing simulation evaluation repeatedly.



中文翻译:

混合动力汽车锂离子充电电池状态检测方法的发展

为了使锂离子电池的性能最大化,我们开发了一种用于检测混合电动汽车(HEV)电池状态的新方法。该方法通过组合基于开路电压(OCV)的SOC和基于电流积分的SOC来获得准确的充电状态(SOC)。除此之外,我们的方法还具有针对电池特性参数的自动调整功能,该功能通过相对简单的处理即可实现。我们的方法还可以通过观察调整后的特征参数来获得健康状态(SOH)。我们使用电池模型对我们的方法进行了仿真评估,即使电池模型和方法中设置的SOH在不匹配的条件下,我们也可以确认SOC误差小于5%。

更新日期:2020-09-14
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