Fault diagnosis of voltage sensor and current sensor for lithium-ion battery pack using hybrid system modeling and unscented particle filter

Energy ◽  
2020 ◽  
Vol 191 ◽  
pp. 116504 ◽  
Author(s):  
Changwen Zheng ◽  
Ziqiang Chen ◽  
Deyang Huang
Keyword(s):  
Fault Diagnosis ◽  
Particle Filter ◽  
Lithium Ion Battery ◽  
Hybrid System ◽  
System Modeling ◽  
Lithium Ion ◽  
Voltage Sensor ◽  
Battery Pack ◽  
Current Sensor ◽  
Unscented Particle Filter

Model based insulation fault diagnosis for lithium-ion battery pack in electric vehicles

Measurement ◽  
2019 ◽  
Vol 131 ◽  
pp. 443-451 ◽  
Author(s):  
Yujie Wang ◽  
Jiaqiang Tian ◽  
Zonghai Chen ◽  
Xingtao Liu
Keyword(s):  
Fault Diagnosis ◽  
Lithium Ion Battery ◽  
Electric Vehicles ◽  
Lithium Ion ◽  
Battery Pack ◽  
Model Based

A Fast Diagnosis Methodology for Typical Faults of a Lithium-Ion Battery in Electric and Hybrid Electric Aircraft

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Seyed Reza Hashemi ◽  
Roja Esmaeeli ◽  
Ashkan Nazari ◽  
Haniph Aliniagerdroudbari ◽  
Muapper Alhadri ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Lithium Ion Battery ◽  
Lithium Ion ◽  
Battery Pack ◽  
Battery Management System ◽  
Battery Management ◽  
Operational Variables ◽  
Electric Aircraft ◽  
In Series ◽  
Hybrid Electric

Abstract In electric and hybrid-electric aircraft, the battery systems are usually composed of up to thousands of battery cells connected in series or parallel to provide the voltage and power/energy requirements. The inconsistent cells could affect the battery pack and its performance or even endanger electric and hybrid-electric aircraft security; thus, the early fault diagnosis of the battery system is essential. A well-designed battery management system along with a set of reliable voltage and current sensors is required to properly measure and control the cells operational variables in a large battery pack. In this study, based on the battery working mechanism, a new, fast, and robust fault diagnostic scheme is proposed for a lithium-ion battery (LIB) pack that can be employed for applications such as electric and hybrid-electric aircraft. In this method, some faults such as the overcharge, overdischarge occurring in LIB packs can be detected and isolated, based on some predefined factors gained from the battery models in healthy, overcharge, and overdischarge conditions. Finally, the effectiveness of the proposed fast fault diagnosis scheme is experimentally validated with LIBs under a typical flight cycle.

Online Fault Diagnosis of External Short Circuit for Lithium-Ion Battery Pack

2020 ◽  
Vol 67 (2) ◽  
pp. 1081-1091 ◽  
Author(s):  
Rui Xiong ◽  
Ruixin Yang ◽  
Zeyu Chen ◽  
Weixiang Shen ◽  
Fengchun Sun
Keyword(s):  
Fault Diagnosis ◽  
Lithium Ion Battery ◽  
Short Circuit ◽  
Lithium Ion ◽  
Battery Pack
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