一种基于地图路径规划的燃料电池汽车能量管理方法
By combining the Gaode Maps route planning API and dynamic programming algorithms, the energy management strategy of fuel cell vehicles is optimized, solving the problem of poor control performance under multiple operating conditions and achieving more accurate energy management and extended fuel cell life.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2023-06-05
- Publication Date
- 2026-07-17
AI Technical Summary
Existing energy management strategies for fuel cell vehicles have poor control performance under various operating conditions, fail to fully consider information from intelligent transportation systems and fuel cell lifespan, and fail to effectively utilize real-world driving data.
By employing a method based on the Gaode Map route planning API, and through analysis of vehicle historical data, identification of typical operating conditions, and planning of SOC descent curves using DP algorithm, combined with LVQ neural network and dynamic programming algorithm, the start-stop control and power output strategy of fuel cell are optimized to achieve precise energy management.
It improves the accuracy of energy management and the lifespan of fuel cells, enhances the energy-saving performance and adaptability of fuel cell vehicles under various operating conditions, ensures that fuel cells operate in the high-efficiency range, and extends the service life of fuel cells.
Smart Images
Figure CN117922382B_ABST