Charging pattern optimization for lithium-ion batteries with an electrothermal-aging model
Journal article, 2018

This paper applies advanced battery modeling and multiobjective constrained nonlinear optimization techniques to derive suitable charging patterns for lithium-ion batteries. Three important yet competing charging objectives, including battery health, charging time, and energy conversion efficiency, are taken into account simultaneously. These optimization objectives are first subject to a high-fidelity battery model that is synthesized from recently developed individual electrical, thermal, and aging models. The coupling relationship and multiple timescales among different model dynamics are identified. Furthermore, constraints are imposed explicitly on the current, voltage, state-of-charge, and temperature. Such a complex charging problem is solved by using an ensemble multiobjective biogeography-based optimization approach. As a result, two charging patterns, namely the constant current-constant voltage (CC-CV) and multistage CC-CV, are optimized to balance various combinations of charging objectives. Different tradeoffs and sensitive elements are compared and analyzed based on the Pareto frontiers. Illustrative results demonstrate that the proposed strategy can effectively offer feasible health-conscious charging with desirable tradeoffs among charging speed and energy conversion efficiency under different demand priorities.

electric vehicles (EVs)

electrothermal-aging model

lithium-ion (Li-ion) batteries

fast charging

Battery charging optimization


Kailong Liu

The University of Warwick

Changfu Zou

Chalmers, Electrical Engineering, Systems and control

Kang Li

University of Leeds

Torsten Wik

Chalmers, Electrical Engineering, Systems and control

IEEE Transactions on Industrial Informatics

1551-3203 (ISSN) 19410050 (eISSN)

Vol. 14 12 5463-5474 8444057

Battery Management

Chalmers, 2019-01-01 -- .

Subject Categories

Computational Mathematics

Other Physics Topics

Other Electrical Engineering, Electronic Engineering, Information Engineering



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