State of Charge Estimation Based on a Realtime Battery Model and Iterative Smooth Variable Structure Filter

Authors

Taesic Kim, University of Nebraska-LincolnFollow
Yebin Wang, Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA
Zafer Sahinoglu, Mitsubishi Electric Research Laboratories, 201 Broadway, Cambridge, MA
Toshihiro Wada, Advanced Technology R&D Center Mitsubishi Electric Corporation, 8-1-1, Tsukaguchi-honmachi, Amagasaki City, 661-8661, Japan
Satoshi Hara, Advanced Technology R&D Center Mitsubishi Electric Corporation, 8-1-1, Tsukaguchi-honmachi, Amagasaki City, 661-8661, Japan
Wei Qiao, University of Nebraska-LincolnFollow

Date of this Version

2014

Citation

2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), Pages: 132-137

Comments

Copyright 2014 IEEE

Abstract

This paper proposes a novel real-time model-based state of charge (SOC) estimation method for lithium-ion batteries. The proposed method includes: 1) an electrical circuit battery model incorporating the hysteresis effect, 2) a fast upper-triangular and D-diagonal recursive least square (FUDRLS)-based online parameter identification algorithm for the electrical battery model, and 3) an iterated smooth variable structure filter (ISVSF) for SOC estimation. The proposed method enables an accurate and robust condition monitoring for lithium-ion batteries. Due to its low complexity, the proposed method is suitable for the real-time embedded battery management system (BMS) application. Simulation and experiment are performed to validate the proposed method for a polymer lithium-ion cell.