Robust identification of time-varying electrical equivalent circuit models of Li-ion batteries

Mostafa, Ashraf; Das, M.

doi:10.1109/eit.2017.8053391

2017 IEEE International Conference on Electro Information Technology (EIT) 2017

DOI: 10.1109/eit.2017.8053391

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Robust identification of time-varying electrical equivalent circuit models of Li-ion batteries

Ashraf Mostafa

M. Das

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2020

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

Liao

Jin

et al. 2020

Energies

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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.

show abstract

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

Liao

Jin

et al. 2020

Energies

View full text Add to dashboard Cite

show abstract

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Robust identification of time-varying electrical equivalent circuit models of Li-ion batteries

Cited by 1 publication

References 16 publications

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

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

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