【论文推荐】湖北工业大学吴铁洲等：考虑SOC间隔与电压阈值的多阶恒流充电策略

摘要

传统的多阶段恒流充电策略为了追求更短的充电时间，常常采用较大倍率的电流对电池充电，但这种做法会在充电时间缩短的同时产生较大的电池温升，对充电过程的安全造成影响，并且较大的充电电流在充电后期对于缩短充电时间的效果也不理想。为了解决上述问题，本文以充电过程中的电池温升作为约束条件，提出一种能够缩短电池充电时间的多阶段恒流充电策略，采用遗传算法对充电电流值进行计算，并且对充电的分段方法进行了研究。最后在不同环境温度和不同初始SOC下对充电策略进行了实验验证。实验结果表明，本文提出的充电策略不仅减少了计算量，而且在不同的工况下温升最多可降低46.4%，充电时间最多可减少4.2%。

Multi-stage constant current charging strategy considering SOC intervals and voltage thresholds

考虑SOC间隔与电压阈值的多阶恒流充电策略

Yu Zhang¹, Si Xu¹, Tiezhou Wu¹

(1.Hubei University of Technology, Hubei Key Laboratory of Solar Energy Efficient Utilization and Energy Storage Operation Control, Hubei, Wuhan 430068, P.R.China)

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Multi-stage constant current charging strategy

Abstract

Conventional multi-stage constant current charging strategies often use higher multiples of current to charge the battery in pursuit of shorter charging times.However, this leads to an increase in battery temperature, while shortening the charging time.This in turn affects the safety of the charging process.Furthermore, the higher charging currents are not ideal for shortening the charging time in the later stages of charging.To solve the aforementioned problems, in this study,a multi-stage constant current charging strategy is presented.This strategy can shorten the battery charging time by using the increase in battery temperature during the charging process as a constraint, using a genetic algorithm to calculate the charging current value, and investigating the phased approach to charging.Finally, the charging strategy is experimentally validated at different ambient temperatures and different initial SOCs.The experimental results show that the charging strategy proposed in this paper not only reduces the amount of calculations, but also reduces the temperature rise by up to 46.4% and charging time by up to 4.2% under different operating conditions.

Keywords

Charging time, Battery temperature rise, Genetic algorithm, Multi-stage constant current charging.

Fig.1 Thevenin equivalent circuit model

Fig.2 Different initial SOC temperature rise graphs

Fig.3 Flow chart of optimized charging strategy

Fig.4 Genetic algorithm flow chart

Fig.5 Optimization effect at different ambient temperatures

Fig.6 Charging current curves at different ambient temperatures

Fig.7 Comparison chart of temperature rise at different initial temperatures

Fig.8 Experimental results of charging at different initial SOC states

Fig.9 Plots of temperature rise for different initial SOC states

本文引文信息

Zhang Y, Xu S, Wu TZ (2022) Multi-stage constant current charging strategy considering SOC intervals and voltage thresholds. Global Energy Interconnection, 5(2): 143-153

张宇，徐思，吴铁洲 (2022) 考虑SOC间隔与电压阈值的多阶恒流充电策略. 全球能源互联网（英文），5(2): 143-153

Biographies

Yu Zhang

Yu Zhang She graduated from Hubei Institute of Technology in June 1992.Graduated from Hubei Institute of Technology in June 1999 with a master's degree in engineering.Professor, School of Electrical and Electronic Engineering, Hubei University of Technology.

Si Xu

Si Xu She graduated from Hankow College with a bachelor’s degree in 2017.Currently pursuing a master’s degree at Hubei University of Technology.

Tiezhou Wu

Tiezhou Wu He graduated from Huazhong University of Science and Technology with a Doctor of Science degree in Systems Analysis and Integration in 2010.Currently Executive Vice President of Hubei University of Technology Solar Energy Research Institute,Director of Key Laboratory of Solar Power Generation and Energy Storage Operation Control, Executive Vice Director of Hubei Collaborative Innovation Center for Efficient Utilization of Solar Energy.

编辑：王彦博

审核：王伟

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Multi-stage constant current charging strategy considering SOC intervals and voltage thresholds

【论文推荐】湖北工业大学 吴铁洲等：考虑SOC间隔与电压阈值的多阶恒流充电策略

郑重声明

【论文推荐】湖北工业大学吴铁洲等：考虑SOC间隔与电压阈值的多阶恒流充电策略