A novel low-complexity state-of-energy estimation method for series-connected lithium-ion battery pack based on “representative cell” selection and operating mode division

2022 ◽  
Vol 518 ◽  
pp. 230732
Author(s):  
Shuzhi Zhang ◽  
Xiongwen Zhang
Energy ◽  
2021 ◽  
Vol 214 ◽  
pp. 118858 ◽  
Author(s):  
Xiaoyu Li ◽  
Jianhua Xu ◽  
Jianxun Hong ◽  
Jindong Tian ◽  
Yong Tian

2020 ◽  
Vol 29 ◽  
pp. 101250 ◽  
Author(s):  
Chaofan Yang ◽  
Xueyuan Wang ◽  
Qiaohua Fang ◽  
Haifeng Dai ◽  
Yaqian Cao ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ting Zhao ◽  
Jiuchun Jiang ◽  
Caiping Zhang ◽  
Kai Bai ◽  
Na Li

Accurate and reliable state of charge (SOC) estimation is a key enabling technique for large format lithium-ion battery pack due to its vital role in battery safety and effective management. This paper tries to make three contributions to existing literatures through robust algorithms. (1) Observer based SOC estimation error model is established, where the crucial parameters on SOC estimation accuracy are determined by quantitative analysis, being a basis for parameters update. (2) The estimation method for a battery pack in which the inconsistency of cells is taken into consideration is proposed, ensuring all batteries’ SOC ranging from 0 to 1, effectively avoiding the battery overcharged/overdischarged. Online estimation of the parameters is also presented in this paper. (3) The SOC estimation accuracy of the battery pack is verified using the hardware-in-loop simulation platform. The experimental results at various dynamic test conditions, temperatures, and initial SOC difference between two cells demonstrate the efficacy of the proposed method.


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