Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery

Zheng Chen; Bing Xia; Chunting Chris Mi; Rui Xiong

doi:10.1109/TIA.2015.2417118

Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery

Zheng Chen, Bing Xia, Chunting Chris Mi^*, Rui Xiong

^*Corresponding author for this work

School of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

79 Citations (Scopus)

Abstract

In this paper, an optimal charging strategy for lithium-ion batteries is proposed to minimize charging loss. To reach this target, a one-RC electric model is employed to model the loss for the battery, and an efficiency map is measured for the charger, considering different charging currents and voltages. A dynamic programming algorithm is applied to determine the optimal charging current profiles for minimizing the losses of the battery and the charger separately and collectively. Experiment results prove that the proposed method is more efficient compared with a constant-current charging method without influencing the charging time.

Original language	English
Article number	7072523
Pages (from-to)	4121-4129
Number of pages	9
Journal	IEEE Transactions on Industry Applications
Volume	51
Issue number	5
DOIs	https://doi.org/10.1109/TIA.2015.2417118
Publication status	Published - 1 Sept 2015

Keywords

Battery charger
dynamic programming (DP)
lithium-ion battery
loss minimization
state of charge (SoC)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TIA.2015.2417118

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title = "Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery",

abstract = "In this paper, an optimal charging strategy for lithium-ion batteries is proposed to minimize charging loss. To reach this target, a one-RC electric model is employed to model the loss for the battery, and an efficiency map is measured for the charger, considering different charging currents and voltages. A dynamic programming algorithm is applied to determine the optimal charging current profiles for minimizing the losses of the battery and the charger separately and collectively. Experiment results prove that the proposed method is more efficient compared with a constant-current charging method without influencing the charging time.",

keywords = "Battery charger, dynamic programming (DP), lithium-ion battery, loss minimization, state of charge (SoC)",

author = "Zheng Chen and Bing Xia and Mi, {Chunting Chris} and Rui Xiong",

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AU - Chen, Zheng

AU - Xia, Bing

AU - Mi, Chunting Chris

AU - Xiong, Rui

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Y1 - 2015/9/1

N2 - In this paper, an optimal charging strategy for lithium-ion batteries is proposed to minimize charging loss. To reach this target, a one-RC electric model is employed to model the loss for the battery, and an efficiency map is measured for the charger, considering different charging currents and voltages. A dynamic programming algorithm is applied to determine the optimal charging current profiles for minimizing the losses of the battery and the charger separately and collectively. Experiment results prove that the proposed method is more efficient compared with a constant-current charging method without influencing the charging time.

AB - In this paper, an optimal charging strategy for lithium-ion batteries is proposed to minimize charging loss. To reach this target, a one-RC electric model is employed to model the loss for the battery, and an efficiency map is measured for the charger, considering different charging currents and voltages. A dynamic programming algorithm is applied to determine the optimal charging current profiles for minimizing the losses of the battery and the charger separately and collectively. Experiment results prove that the proposed method is more efficient compared with a constant-current charging method without influencing the charging time.

KW - Battery charger

KW - dynamic programming (DP)

KW - lithium-ion battery

KW - loss minimization

KW - state of charge (SoC)

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JF - IEEE Transactions on Industry Applications

IS - 5

M1 - 7072523

ER -

Loss-Minimization-Based Charging Strategy for Lithium-Ion Battery

Abstract

Keywords

UN SDGs

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