An energy management method and system for a vehicle-mounted energy storage power supply and a storage medium
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN POWER SUPPLY BUREAU
- Filing Date
- 2023-11-01
- Publication Date
- 2026-06-19
AI Technical Summary
Traditional vehicle-mounted energy storage power supply energy management systems cannot provide accurate energy state estimation results, resulting in low energy utilization efficiency, short battery life, and inability to adapt to dynamic changes in vehicle driving conditions, leading to unreasonable energy utilization and unstable energy supply.
By employing the variance-compensated extended Kalman filter algorithm and the FOPID black hole optimization algorithm, combined with sensor data monitoring and intelligent controllers, real-time monitoring of vehicle and battery status and optimization of energy management strategies are achieved, including charge and discharge control and energy optimization.
It improves the accuracy and utilization of energy state estimation, extends battery life, enhances system flexibility and adaptability, and ensures the stability and reliability of energy supply.
Smart Images

Figure CN117565742B_ABST