Open AccessAn Electro-Thermal Model based fast optimal charging strategy for Li-ion batteries
Author(s) -
Saad Jarid,
M. Das
Publication year - 2021
Publication title -
aims energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.294
H-Index - 9
eISSN - 2333-8334
pISSN - 2333-8326
DOI - 10.3934/energy.2021043
Subject(s) - battery (electricity) , voltage , constant current , lithium ion battery , lithium (medication) , thermal , computer science , constant (computer programming) , automotive engineering , control theory (sociology) , electrical engineering , engineering , power (physics) , physics , medicine , control (management) , quantum mechanics , endocrinology , artificial intelligence , meteorology , programming language
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.