A Novel Real-Time State-of-Health and State-of-Charge Co-Estimation Method for LiFePO$_{4}$ Battery
Rong-Xue Qiao1 , Ming-Jian Zhang1 , Yi-Dong Liu1 , Wen-Ju Ren1 , Yuan Lin1,2** , Feng Pan1**
1 School of Advanced Materials, Peking University, Peking University Shenzhen Graduate School, Shenzhen 5180552 Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190
Abstract ：The state of charge (SOC) and state of health (SOH) are two of the most important parameters of Li-ion batteries in industrial production and in practical applications. The real-time estimation for these two parameters is crucial to realize a safe and reliable battery application. However, this is a great problem for LiFePO$_{4}$ batteries due to the large constant potential plateau in the charge/discharge process. Here we propose a combined SOC and SOH co-estimation method based on the experimental test under the simulating electric vehicle working condition. A first-order resistance-capacitance equivalent circuit is used to model the battery cell, and three parameter values, ohmic resistance ($R_{\rm s})$, parallel resistance ($R_{\rm p})$ and parallel capacity ($C_{\rm p})$, are identified from a real-time experimental test. Finally we find that $R_{\rm p}$ and $C_{\rm p}$ could be utilized to make a judgement on the SOH. More importantly, the linear relationship between $C_{\rm p}$ and the SOC is established to make the estimation of the SOC for the first time.
收稿日期: 2016-03-27
出版日期: 2016-08-01
:
82.47.Aa
(Lithium-ion batteries)
88.05.Hj
(Energy content issues; life cycle analysis)
88.05.Vx
(Energy use in industry and manufacturing)
81.70.-q
(Methods of materials testing and analysis)
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2016, Vol. 33 
