scholarly journals Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5691
Author(s):  
Hongtao Liao ◽  
Fu Jiang ◽  
Cheng Jin ◽  
Yue Wu ◽  
Heng Li ◽  
...  

Battery balance methods are the key technology to ensure the safe and efficient operation of the energy storage systems. Nevertheless, convenient balance methods experience slow convergence and difficult to adapt to quick charging applications. To solve the problem, in this paper, an artificial potential field-based lithium-ion battery balance method is proposed. Firstly, a cyber-physical model of the battery equalization system is proposed, in which the physical layer models the circuit components and the cyber layer represents the communication topology between the batteries. Then the virtual force function is established by artificial potential field to attract the voltage and state-of-charge of each cell to nominal values. With a feedback control law, the charging current of the battery is reasonably distributed to realize the rapid balance among batteries. The experimental results verify the effectiveness and superiority of the proposed method.

2020 ◽  
Vol 53 (2) ◽  
pp. 12682-12687
Author(s):  
Fu Jiang ◽  
Cheng Jin ◽  
Hongtao Liao ◽  
Heng Li ◽  
Yue Wu ◽  
...  

2013 ◽  
Vol 732-733 ◽  
pp. 809-812 ◽  
Author(s):  
Hong Rui Liu ◽  
Chao Ying Xia

This paper proposes an equalizer for serially connected Lithium-ion battery cells. The battery cell with the lowest state of charge (SOC) is charged by the equalizer during the process of charging and discharging, and the balancing current is constant and controllable. Three unbalanced lithium-ion battery cells in series are selected as the experimental object by this paper. The discharging current under a certain UDDS and 20A charging current are used to complete respectively one time balancing experiment of discharging and charging to the three lithium-ion battery cells. The validity of the balancing strategy is confirmed in this paper according to the experimental results.


2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Bayu Erfianto ◽  
Riyanto T. Bambang ◽  
Hilwadi Hindersah ◽  
Intan Muchtadi-Alamsyah

This paper investigates cooperative flocking control design with connectivity preserving mechanism. During flocking, interagent distance is measured to determine communication topology of the flocks. Then, cooperative flocking motion is built based on cooperative artificial potential field with connectivity preserving mechanism to achieve the common flocking objective. The flocking control input is then obtained by deriving cooperative artificial potential field using control Lyapunov function. As a result, we prove that our flocking protocol establishes group stabilization and the communication topology of multiagent flocking is always connected.


2013 ◽  
Vol 853 ◽  
pp. 389-394
Author(s):  
Shi Gang Song ◽  
Xiao Ping Li ◽  
Ze Chang Sun

In order to evaluate the lithium-ion battery charging during electric vehicles regenerative braking, by testing on different initial SOC, charging current and temperature, the charging curves of lithium-ion battery are drawn under different conditions, and various parameters are derived. Based on a single factor in the impact of change on energy recovery, analyzed the influencing factors of coupling mechanism. Get approximation functions between energy recovery and multi-factor using multiple regression analysis method, and built energy recovery models. According to some experimentation with measured value and the calculated value, indicated the set of polynomials energy recovery model efficiency.


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