Intelligent fault early warning method for electric vehicle controller
By conducting electrical and physical volatility analysis on the impact event data of the electric vehicle controller, configuring the fault prediction coefficients, and calculating the comprehensive fault probability, the problem of inaccurate fault warning in the existing technology is solved, and more efficient fault warning is achieved.
CN119690053AInactive Publication Date: 2025-03-25XUZHOU SHIJIN ELECTROMECHANICAL TECH CO LTD
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Patent Information
- Application Number
- CN202411925211.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-03-25
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Technical Problem
In the prior art, the fault warning of electric vehicle controllers is inaccurate and timely, and it is impossible to effectively predict potential failure risks.
Method used
By recording the impact event data of electric vehicles, conducting electrical and physical shock volatility analysis, configuring fault prediction coefficients, conducting integrated fault analysis, calculating the comprehensive fault probability, and conducting discrimination warnings.
Benefits of technology
It improves the accuracy and response speed of fault warning, and can more effectively predict and warning of potential faults of electric vehicle controllers.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses an intelligent fault early warning method for an electric vehicle controller, and relates to the technical field of fault early warning. The method comprises the steps of recording impact event data of the electric vehicle in the use process of the electric vehicle, and obtaining an impact event data sequence; performing electrical impact fluctuation analysis according to the impact event data sequence to obtain electrical impact fluctuation parameters, and performing physical impact fluctuation analysis according to the impact event data sequence to obtain physical impact fluctuation parameters; configuring an electrical fault prediction coefficient and a physical fault prediction coefficient according to the electrical impact fluctuation parameter and the physical impact fluctuation parameter, and performing integrated fault analysis to obtain an electrical fault probability and a physical fault probability; and according to the electrical fault probability and the physical fault probability, calculating to obtain a comprehensive fault probability, and performing judgment and early warning. The technical problem that fault early warning of the electric vehicle controller is inaccurate and not timely in the prior art is solved, and the technical effect of improving the fault early warning accuracy and the response speed is achieved.
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