Chapter
Aug 30, 2023
Power Loss Risk Assessment of Electric Vehicles Based on Entropy Weight Method
Authors: Zongrui Xie [email protected], Hui Zhang [email protected], Naikan Ding [email protected], Man Zhu [email protected], Shaopeng Li [email protected], and Hongxia Feng [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
Sudden power loss is a great threat to electric vehicles, which could lead to serious accidents and damages. This study developed and verified a power loss risk assessment method using naturalistic driving experiment data of electric vehicles (EVs). The characteristic indexes related to the power loss were extracted by binary logistic regression. It was determined that total battery voltage, motor temperature, motor controller temperature, DC/DC temperature, and maximum battery temperature are related to power loss risk. Power loss risk of EVs was evaluated using the entropy weight method, which is a comprehensive method that can integrate indicators. The risk evaluation score is obtained by integrating all indicators related to the risk of power loss in the regression analysis. One thousand data points containing alarms are input for verification. The estimated model has a high detection accuracy of 82%.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Analysis (by type)
- Batteries
- Disaster risk management
- Electric power
- Energy engineering
- Energy infrastructure
- Energy storage
- Engineering fundamentals
- Engineering mechanics
- Entropy methods
- Highway transportation
- Infrastructure
- Lifeline systems
- Measurement (by type)
- Methodology (by type)
- Regression analysis
- Research methods (by type)
- Risk management
- Statistical analysis (by type)
- Temperature effects
- Temperature measurement
- Thermodynamics
- Transportation engineering
- Vehicles
- Verification
Authors
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1Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
2Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
3Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
4Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
5Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
6Intelligent Transportation Systems Research Center, Wuhan Univ. of Technology, Wuhan, China. Email: [email protected]
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Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.