Design and Implementation of a Smart Lithium-Ion Battery System with Real-Time Fault Diagnosis Capability for Electric Vehicles

• Main Authors: Zuchang Gao, Cheng Siong Chin, Joel Hay King Chiew, Junbo Jia, Caizhi Zhang
• Format: Article
• Language: English
• Published: MDPI AG 2017-09-01
• Series: Energies
• Subjects: lithium-ion; energy-storage system; fault diagnosis; protection; electric vehicle
• Online Access: https://www.mdpi.com/1996-1073/10/10/1503

Lithium-ion battery (LIB) power systems have been commonly used for energy storage in electric vehicles. However, it is quite challenging to implement a robust real-time fault diagnosis and protection scheme to ensure battery safety and performance. This paper presents a resilient framework for real-time fault diagnosis and protection in a battery-power system. Based on the proposed system structure, the self-initialization scheme for state-of-charge (SOC) estimation and the fault-diagnosis scheme were tested and implemented in an actual 12-cell series battery-pack prototype. The experimental results validated that the proposed system can estimate the SOC, diagnose the fault and provide necessary protection and self-recovery actions under the load profile for an electric vehicle.