Optimized Multi-Stepped constant current constant voltage fast charging controller for lithium-ion batteries

TL;DR

This paper introduces a new fast charging method for lithium-ion batteries that improves speed, safety, and efficiency compared to traditional techniques.

Contribution

A novel multi-stepped charging strategy using particle swarm optimization for faster and safer lithium-ion battery charging.

Findings

The proposed method significantly reduces battery charging time compared to conventional techniques.

It also decreases heat generation during charging, improving thermal management.

Simulation results confirm the method's practicality and superior performance.

Abstract

This paper addresses an effective, reliable and fast charging method for maximizing lithium-ion battery performance, longevity, and safety. The proposed multi-stage current charging mechanism utilizes a modified multi-stepped constant current-constant voltage based on the particle swarm optimization (MMSCC-CV-PSO) algorithm. The proposed MMSCC-CV-PSO charging strategy demonstrates a significantly faster charging performance compared to traditional charging techniques, including the widely used constant-current constant-voltage (CC–CV) method and the conventional multistage constant current (MSCC) approach. This enhanced efficiency highlights the superiority of the proposed method over existing solutions discussed in the literature. The simulation results confirm the practicality and superior performance of the proposed design strategy. Compared to the conventional MSCC method, the proposed approach achieved a considerable reduction in battery charging time, indicating a more efficient energy transfer process. Additionally, it led to a noticeable decrease in heat generation within the battery during the charging cycle, reflecting improved thermal management. These outcomes collectively demonstrate the effectiveness of the proposed method in enhancing both the speed and safety of the charging process, making it a promising solution for advanced battery management systems. The simulation model was developed and successfully implemented using the MATLAB/Simulink environment, providing a flexible platform for testing and evaluating the proposed charging strategy.

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