An Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries

Saad Jarid; Manohar Das; Saad Jarid; Manohar Das

doi:10.3934/energy.2021043

AIMS Energy

2021, Volume 9, Issue 5: 915-933. doi: 10.3934/energy.2021043

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Research article

An Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries

Saad Jarid ,
Manohar Das ^,

Department of Electrical and Computer Engineering, Oakland University, Rochester, MI 48309, USA

Received: 01 May 2021 Accepted: 12 July 2021 Published: 21 July 2021

This paper utilizes an integrated electro-thermal model of a lithium-ion battery to search for an optimal multistage constant current charge pattern that will minimize the total charging time of the battery, while restricting its temperature rise in each stage within safe limits. The model consists of two interlinked components, an electrical equivalent circuit model to continuously predict the battery's terminal voltage and a thermal model to continuously predict its temperature rise as charging progresses. The proposed optimization algorithm is based on a novel stepwise single-variable search technique that is very easy to implement and converges quickly. The results of our extensive simulation studies clearly indicate that the proposed charging strategy offers a fast, safe and easy-to-implement alternative to many of the existing computationally intensive optimal charging strategies.
- Li-ion batteries,
- fast charging,
- safe charging,
- optimal charge pattern
Citation: Saad Jarid, Manohar Das. An Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries[J]. AIMS Energy, 2021, 9(5): 915-933. doi: 10.3934/energy.2021043

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Abstract

This paper utilizes an integrated electro-thermal model of a lithium-ion battery to search for an optimal multistage constant current charge pattern that will minimize the total charging time of the battery, while restricting its temperature rise in each stage within safe limits. The model consists of two interlinked components, an electrical equivalent circuit model to continuously predict the battery's terminal voltage and a thermal model to continuously predict its temperature rise as charging progresses. The proposed optimization algorithm is based on a novel stepwise single-variable search technique that is very easy to implement and converges quickly. The results of our extensive simulation studies clearly indicate that the proposed charging strategy offers a fast, safe and easy-to-implement alternative to many of the existing computationally intensive optimal charging strategies.

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