Balancing Strategies for an Unbalanced LiFePO4 Battery Pack

2016 ◽  
Author(s):  
Zi-Yuan Chiou ◽  
Chih-Hao Lee ◽  
Chi Yao Wu
Keyword(s):  
Battery Pack ◽  
Lifepo4 Battery

LiFePO4 battery pack capacity estimation for electric vehicles based on charging cell voltage curve transformation

2013 ◽  
Vol 226 ◽  
pp. 33-41 ◽  
Author(s):  
Yuejiu Zheng ◽  
Languang Lu ◽  
Xuebing Han ◽  
Jianqiu Li ◽  
Minggao Ouyang
Keyword(s):  
Electric Vehicles ◽  
Cell Voltage ◽  
Battery Pack ◽  
Capacity Estimation ◽  
Voltage Curve ◽  
Lifepo4 Battery

Discharge analysis and temperature management of LiFePO4 battery pack for Electric Vehicles

2021 ◽  
Author(s):  
Peeyush Garg ◽  
Vishnu Goyal ◽  
Siddharth Bhattacharya ◽  
Deepika Bansal
Keyword(s):  
Electric Vehicles ◽  
Battery Pack ◽  
Temperature Management ◽  
Lifepo4 Battery

State of Charge Evaluation of Power Battery Pack Through Multi-Parameter Optimization

2021 ◽  
Vol 18 (3) ◽  
Author(s):  
You Xu ◽  
Jiehao Li ◽  
Wei Xu ◽  
Jing Wu ◽  
Shuli Li ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Approximate Model ◽  
State Of Charge ◽  
Battery Pack ◽  
Energy Output ◽  
Equilibrium Potential ◽  
Power Battery ◽  
Current Voltage ◽  
Rest Time ◽  
Lifepo4 Battery

Abstract The state of charge (SoC) is an important index of the energy output performance of power battery pack. But the SoC value is affected by various factors, namely, ambient temperature, working current, equilibrium potential, and the consistency between batteries in the pack. These factors might dampen the accuracy of the traditional SoC evaluation methods like current–voltage method and Kalman filter. The evaluation accuracy is also influenced by the data drift and rest time to equilibrium potential. Considering the multiple influencing factors of SoC, this paper analyzes the data drift and rest time to equilibrium potential, and builds an approximate model of overpotential for 32650 LiFePO4 battery, based on the time variation constant and the monotonicity of SoC trend. The proposed model was adopted to optimize the evaluation of SoC. To verify its effectiveness, the proposed method was compared with current–voltage method and Kalman filter through experiments. The results show that our method outperformed the contrastive methods in simplicity, relative error (<2.33%), compatibility, and state of health (SoH).

A Novel Method to Estimate the State of Health of each Cell in Battery Pack

2014 ◽  
Vol 1044-1045 ◽  
pp. 545-548
Author(s):  
Xiang Wu Yan ◽  
Qi Guo ◽  
Heng Bo Xu
Keyword(s):  
Evaluation Method ◽  
Quantitative Relationship ◽  
The State ◽  
Operating Conditions ◽  
Battery Pack ◽  
State Of Health ◽  
Ohmic Resistance ◽  
Aging Test ◽  
In Series ◽  
Lifepo4 Battery

In order to estimate the state of health (SOH) of each cell in the battery pack, polarization resistance and ohmic resistance were analyzed in the aging process of the battery pack. Accelerating aging test for the battery was done, quantitative relationship between the ohmic resistance and the capacity aging was obtained, a method of relative state of health (RSOH) evaluation was proposed accordingly, Experiments on the LiFePO4 battery pack which is connected in series by 100 cells have been taken, the experimental results show that the evaluation method of RSOH can evaluate the cells SOH accurately and is not limited by the operating conditions.

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