Optimization of the lumped parameter thermal model for hard-cased li-ion batteries

2020 ◽  
Vol 32 ◽  
pp. 101758
Author(s):  
Xifeng Cui ◽  
Jian Zeng ◽  
Hongliang Zhang ◽  
Jianhong Yang ◽  
Jia Qiao ◽  
...  
2012 ◽  
Vol 159 (9) ◽  
pp. A1508-A1519 ◽  
Author(s):  
E. Prada ◽  
D. Di Domenico ◽  
Y. Creff ◽  
J. Bernard ◽  
V. Sauvant-Moynot ◽  
...  

2020 ◽  
Vol 44 (5) ◽  
pp. 3607-3625 ◽  
Author(s):  
Ganghui Zeng ◽  
Zhonghao Bai ◽  
Peifeng Huang ◽  
Qingsong Wang

2014 ◽  
Vol 529 ◽  
pp. 616-620
Author(s):  
Jin Zhang ◽  
An Tong Gao ◽  
Wen Bing Wang ◽  
Yu Sheng Han ◽  
Rong Gang Chen ◽  
...  

To estimate remaining useful life (RUL) of Li-ion batteries is a key factor for correct and safe battery management, particularly for the development of Battery Management System (BMS). A lumped parameter model which integrates the non-linear open-circuit voltage, current, temperature, cycle number, and remaining capacity and other dynamic characteristics is created based on the battery electrical characteristics is presented. A particle filter (PF) algorithm which syncretizes Li-ion battery electrochemical working process is proposed according to the sequence importance of re-sampling to predict its discharge end time in single cycle time and cycle life. Besides, for comparison, a extended Kalman filter (EKF) algorithm is also proposed to estimate the RUL based on the same statistics. Simulation results show that the PF algorithm according to lumped parameter model has a better precision in estimating RUL compared with the EKF algorithm.


Author(s):  
Ali Amini ◽  
Tanılay Özdemir ◽  
Özgür Ekici ◽  
S. Çağlar Başlamışlı ◽  
Murat Köksal

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