电动轮矿车制动能量回馈系统的自适应模糊控制研究OA

To address the insufficient adaptability to dynamic working conditions in the braking energy feedback process of electric-drive mining trucks,a regenerative braking energy storage system is de-signed.The system utilizes high energy density batteries as the primary energy storage component and high power density supercapacitors as the secondary energy storage element.Furthermore,a coordinated energy management control approach based on adaptive fuzzy control for bidirectional DC/DC converters is intro-duced.A simulation model for an electric vehicle incorporating a battery,supercapacitor,and motor was es-tablished using MATLAB.A Mamdani fuzzy controller with State-of-Charge awareness was designed,and a parameter self-tuning mechanism was introduced to optimize the dynamic response performance.A controllable DC current source with perturbations was utilized to simulate load current variations,enabling research and simulation analysis on energy allocation within the energy storage system during both normal driving and regenerative braking modes.Results show that battery and supercapacitor work together.The supercapacitor handles 83.2％of transient energy demands.And the battery manages 16.8％of slow-var-ying components.The dynamic response delay of the battery current is less than 120 ms,and the energy storage efficiency of the battery is increased to 95.1％.