机车的电制动优化方法、装置、计算机设备和介质
By generating an initial solution, calculating the electric braking level code, and optimizing the electric braking scheme using crossover genetic and mutation algorithms, the longitudinal impulse problem of heavy-haul trains at large gradient change points was solved, thereby improving safety and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHUZHOU ELECTRIC LOCOMOTIVE CO LTD
- Filing Date
- 2025-09-09
- Publication Date
- 2026-07-17
AI Technical Summary
When heavy-haul trains are at a point of significant gradient change, the sudden change in gradient resistance and the asynchrony between the braking/releasing of the front and rear trains can lead to a large longitudinal impulse, which may cause the coupler to break. Existing technologies cannot adaptively optimize the electric braking scheme to solve this safety problem.
By randomly generating an initial solution, the electric braking level of the computer vehicle is encoded, and the electric braking scheme is optimized using crossover genetic and mutation algorithms. Combined with iterative calculation of the fitness function, the optimal electric braking scheme, including the electric braking level and access time, is finally output.
The electric braking scheme was optimized, reducing longitudinal impulses, improving the safety and efficiency of train operation, and avoiding the risk of coupler breakage.
Smart Images
Figure CN121341126B_ABST