Abstract

Lithium-ion (Li-ion) batteries play a substantial role in energy storage solutions for modern-day technologies such as hand-held consumer electronics, aerospace, electric vehicles, and renewable energy systems. For Li-ion batteries, designing a high-quality battery charging algorithm is essential since it has significant influences on the performance and lifetime of Li-ion batteries. The objectives of a high-performance charger include high charging efficiency, short charging time, and long cycle life. In this paper, a model predictive control based charging algorithm is proposed, the presented technique aims to simultaneously reduce the charging time, and the temperature rise during charging. In this study, the coulomb counting method is utilized to calculate the future state-of-charge and an artificial neural network trained by experimental data is also applied to predict the future temperature rise. Comparing with the widely employed constant current-constant voltage charging method, the proposed charging technique can improve the charging time and the average temperature rise by 1.2 % and 4.13 %, respectively.

Highlights

  • The rapid development of electric vehicles and portable consumer devices has driven further advances in the technology of rechargeable batteries

  • Model predictive control (MPC) is implemented to realize the on-line optimization of charging current based on instantaneous state of charge (SOC) which is estimated by the coulomb counting method and temperature rise value obtained from the trained artificial neural network (ANN) model

  • The conventional current-constant voltage (CC-CV) method with charging current ranging from 0.7 C to 1.0 C in the interval of 0.1 C is compared with the proposed methods

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Summary

Introduction

The rapid development of electric vehicles and portable consumer devices has driven further advances in the technology of rechargeable batteries. Among the numerous types of rechargeable batteries, Lithium-ion (Li-ion) batteries featuring high energy density, more cycling lifetime, low self-discharge rate, and no memory effect have been widely applied in a variety of applications. From low power consumer electronics products to the high power storage system for stabilizing the renewable energy power generation, techniques related to Li-ion batteries have attracted lots of attention in the field of power electronics and power systems. To extract the maximum benefits from Li-ion battery, many types of research have focused on charging strategy. The most well-known conventional charging strategy is the constant current-constant voltage (CC-CV) charging method. In the CC-CV method, there is a constant current set to charge the battery cell until the cell voltage reaches an upper voltage limit. A constant voltage is set to continue charging until

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