一种工况自适应的变等效因子混合动力汽车能量管理方法
By employing a predictive control method based on V2X networks and MPC models in hybrid electric vehicles, combined with DP dynamic programming algorithm and ECMS, a variable equivalent factor strategy with operating conditions adaptive is established. This solves the problem of insufficient operating condition adaptability of traditional equivalent factor strategies and achieves better fuel economy and energy management performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING TECH UNIV
- Filing Date
- 2023-05-15
- Publication Date
- 2026-07-17
AI Technical Summary
The equivalent factor strategy of traditional hybrid electric vehicles lacks adaptability to operating conditions, which makes it impossible to achieve optimal power distribution in actual control and affects fuel economy.
A predictive control method based on V2X network and MPC model is adopted, combined with DP dynamic programming algorithm and ECMS, to establish a variable equivalent factor method that adapts to the operating conditions. By updating the equivalent factor in real time to adapt to changes in vehicle operating conditions, the interconnection between vehicle control and traffic scenarios is realized, and energy management is optimized.
It improves the fuel economy and real-time energy management optimization capabilities of hybrid vehicles, enhances the operating condition adaptability of the equivalent factor, and improves fuel consumption and emission performance.
Smart Images
Figure CN116714566B_ABST