一种基于动态规划的制动方法
By combining data acquisition and dynamic programming systems with inverse recursive optimization algorithms, the driving strategy of electric vehicles is optimized in real time, solving the problem of large computational load in regenerative braking energy recovery of electric vehicles, and achieving energy minimization and improved driving efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU CITY UNIV OF TECH
- Filing Date
- 2023-09-08
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the regenerative braking energy recovery of electric vehicles involves a huge amount of computation in the dynamic programming process, which cannot be applied in real time, thus making it impossible to optimize the optimal economic speed during vehicle operation.
By collecting road segment data through a data acquisition system, planning vehicle driving stages in segments, and using a dynamic programming system to establish state transition equations and decision equations, combined with a reverse recursive optimization algorithm, the optimal driving strategy is calculated and provided to the driver in real time.
It enables real-time optimization of energy consumption during electric vehicle operation, provides optimal driving strategies, reduces energy consumption, and improves driving efficiency.
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Abstract
Citation Information
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