一种电动汽车电驱动系统效率的云计算系统
By combining real-time data acquisition and cloud platform analysis with neural network models, the problem of operating conditions and motor type dependence in the efficiency evaluation of electric drive systems for electric vehicles has been solved, realizing comprehensive, rapid evaluation and universal calculation of the efficiency of electric drive systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING VEHICLE TEST & RES INST CO LTD
- Filing Date
- 2023-03-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately assess the efficiency of electric drive systems for electric vehicles under different operating conditions and motor types, and the testing methods are time-consuming and lack universality.
It employs a real vehicle data acquisition module, a cloud platform data computing module, and a storage module. Data is collected in real time through vehicle networking technology, and the data is processed and stored using the cloud platform. A driving condition library, a motor type library, and an electric drive system efficiency MAP library are constructed. Combined with a neural network model, the total power loss of the electric drive system is analyzed, and the electric drive system efficiency MAP is output.
It enables a comprehensive evaluation of the efficiency of electric drive systems for electric vehicles under different operating conditions and motor types, improving the universality and efficiency of the calculation and reducing reliance on manufacturer-specific parameters.
Smart Images
Figure CN116339988B_ABST