An Aging-Optimized State-of-Charge-Controlled Multi-Stage Constant Current (MCC) Fast Charging Algorithm for Commercial Li-Ion Battery Based on Three-Electrode Measurements

Author:

Kalk Alexis1ORCID,Leuthner Lea2ORCID,Kupper Christian1ORCID,Hiller Marc1

Affiliation:

1. Institute of Electrical Engineering (ETI), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany

2. Institute for Applied Materials (IAM), Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany

Abstract

This paper proposes a method that leads to a highly accurate state-of-charge dependent multi-stage constant current (MCC) charging algorithm for electric bicycle batteries to reduce the charging time without accelerating aging by avoiding Li-plating. First, the relation between the current rate, state-of-charge, and Li-plating is experimentally analyzed with the help of three-electrode measurements. Therefore, a SOC-dependent charging algorithm is proposed. Secondly, a SOC estimation algorithm based on an Extended Kalman Filter is developed in MATLAB/Simulink to conduct high accuracy SOC estimations and control precisely the charging algorithm. The results of the experiments showed that the Root Mean Square Error (RMSE) of SOC estimation is 1.08%, and the charging time from 0% to 80% SOC is reduced by 30%.

Funder

Federal Ministry for Economic Affairs and Climate Action (BMWK) of Federal Republic of Germany

Publisher

MDPI AG

Reference37 articles.

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