An Artificial Potential Field-Based Lithium-ion Battery SOC Equilibrium Method in Electric Vehicles. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Jiang, Fu; Jin, Cheng; Liao, Hongtao; Li, Heng; Wu, Yue; Liu, Yongjie; Peng, Jun; Huang, Zhiwu
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 12682
• Page End: 12687
• Publication Date: 2020
• Subjects: Li-ion battery -- state-of-charge -- equilibrium -- artificial potential field -- energy consumption; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.1851
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: A novel cell equilibrium algorithm which is used for battery state of charge equilibrium of battery pack is proposed in this paper. Cell equilibrium algorithm is a key technology for lithium-ion battery pack in the energy storage systems. In order to eliminate the imbalance of battery state of charge, it's generally controlled by adjusting the charging current. The artificial potential field can construct a virtual force function, which provides the mapping between state of charge deviation and charging current. Therefore, an artificial potential field-based equilibrium method to balance battery state of charge was proposed in this paper. By reasonably distributing the charging current of the battery, the equilibrium of the battery state of charge can be achieved. A laboratory testbed has been built to verify the effectiveness of the proposed method compared with conventional method. Experiment results analyzed the energy consumption and the convergence speed of state of charge deviation under artificial potential field control with different parameters.