Fault mode detection of a hybrid electric vehicle by using support vector machine
Hybrid electric vehicle (HEV) is one of the ideal transportation tools to face the challenge of ‘Carbon peak carbon neutralization’. The high complexity of the latest HEVs result to the difficulties in vehicle fault diagnostics, which is considered to be the main factors of vehicle durability. In th...
Main Authors: | Fanshuo Liu, Bolan Liu, Junwei Zhang, Peng Wan, Ben Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-09-01
|
Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723006728 |
Similar Items
-
Fault Alarms and Power Performance in Hybrid Electric Vehicles Based on Hydraulic Technology
by: Zhuan You
Published: (2023-01-01) -
Sliding Mode Observer-Based Stuck Fault and Partial Loss-of-Effectiveness (PLOE) Fault Detection of Hypersonic Flight Vehicle
by: Changhua Hu, et al.
Published: (2022-09-01) -
Sound Based Fault Diagnosis Method Based on Variational Mode Decomposition and Support Vector Machine
by: Xiaojing Yin, et al.
Published: (2022-08-01) -
Intelligent Detection of Small Faults Using a Support Vector Machine
by: Aiping Zeng, et al.
Published: (2021-09-01) -
Sliding Mode Fault Tolerant Control for Unmanned Aerial Vehicle with Sensor and Actuator Faults
by: Juan Tan, et al.
Published: (2019-02-01)