Optimization of Variable-Current Charging Strategy Based on SOC Segmentation for Li-ion Battery

This paper presents a variable-current charging strategy of Li-ion batteries. Since the battery characteristics vary with state of charge (SOC), it is more reasonable to divide the charging process based on SOC than on cut off voltage. We find an optimal charging pattern of the proposed strategy by Non-dominated Sorting Genetic Algorithm-III (NSGA-III). The Second-order Thevenin model of battery is established to simulate the charging process. Verification experiments are performed and results show that the obtained charging pattern has a temperature and loss reduction of 2.9 °C and 0.5% compared with constant current-constant voltage (CC-CV) strategy under the same charging time and capacity.

[1]  Xiaosong Hu,et al.  A comparative study of equivalent circuit models for Li-ion batteries , 2012 .

[2]  Yi-Hwa Liu,et al.  Search for an Optimal Rapid-Charging Pattern for Li-Ion Batteries Using the Taguchi Approach , 2010, IEEE Transactions on Industrial Electronics.

[3]  Kalyanmoy Deb,et al.  An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints , 2014, IEEE Transactions on Evolutionary Computation.

[4]  Ying Shirley Meng,et al.  Combined economic and technological evaluation of battery energy storage for grid applications , 2018, Nature Energy.

[5]  Bo Lu,et al.  Selection of charge methods for lithium ion batteries by considering diffusion induced stress and charge time , 2016 .

[6]  Byoung Kuk Lee,et al.  High-Efficiency Adaptive-Current Charging Strategy for Electric Vehicles Considering Variation of Internal Resistance of Lithium-Ion Battery , 2019, IEEE Transactions on Power Electronics.

[7]  Qiyu Chen,et al.  Day-ahead optimal charging/discharging scheduling for electric vehicles in microgrids , 2018 .

[8]  Yijia Cao,et al.  Optimization of multi-stage constant current charging pattern based on Taguchi method for Li-Ion battery , 2020 .

[9]  Hui Liu,et al.  Real-time vehicle-to-grid control for frequency regulation with high frequency regulating signal , 2018 .

[10]  Shih-Chia Huang,et al.  An Evolutionary Multiobjective Carpool Algorithm Using Set-Based Operator Based on Simulated Binary Crossover , 2019, IEEE Transactions on Cybernetics.

[11]  Bing Xia,et al.  Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery , 2015, IEEE Transactions on Industry Applications.

[12]  Danhua Ouyang,et al.  Progress of Chinese electric vehicles industrialization in 2015: A review , 2017 .

[13]  Xie Jing-ying.  The reasons of rapid decline in cycle life of Li-ion battery , 2009 .

[14]  J.H.G. Op het Veld,et al.  Boostcharging Li-ion batteries: A challenging new charging concept , 2005 .

[15]  John E. Dennis,et al.  Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems , 1998, SIAM J. Optim..

[16]  G. V. Avvari,et al.  Optimal battery charging, Part I: Minimizing time-to-charge, energy loss, and temperature rise for OCV-resistance battery model , 2016 .

[17]  B. Scrosati,et al.  Lithium batteries: Status, prospects and future , 2010 .

[18]  Qiujiang Liu,et al.  Evaluation of Acceptable Charging Current of Power Li-Ion Batteries Based on Polarization Characteristics , 2014, IEEE Transactions on Industrial Electronics.

[19]  W. Choi,et al.  Optimal Charge Pattern for the High-Performance Multistage Constant Current Charge Method for the Li-Ion Batteries , 2018, IEEE Transactions on Energy Conversion.

[20]  Yang Geng,et al.  Battery DC internal resistance test method based on the constant current external characteristics and SOC , 2015 .

[21]  Kaoru Asakura,et al.  Study of life evaluation methods for Li-ion batteries for backup applications , 2003 .

[22]  Yi-Hwa Liu,et al.  Search for an Optimal Five-Step Charging Pattern for Li-Ion Batteries Using Consecutive Orthogonal Arrays , 2011, IEEE Transactions on Energy Conversion.