The invention provides a passenger car braking energy recovery control method and system based on series control, and the method comprises the steps: monitoring the position of a brake pedal and the speed of four wheels through a linear Hall sensor and a magnetoelectric wheel speed sensor, collecting battery state data through a distributed battery state monitoring system, and processing the data through Kalman filtering to detect an abnormal value; the method comprises the following steps: constructing a braking demand prediction model combining LSTM and GNN, predicting a braking demand according to a real-time driving state, performing multi-target dynamic optimization by adopting a non-dominated sorting genetic algorithm II, determining an optimal braking torque distribution strategy, establishing a self-adaptive slope calculation model according to a real-time load and a road surface friction coefficient, and dynamically adjusting sliding braking intervention and exit rates. A hierarchical energy recovery control strategy is set, a priority mechanism is set, it is ensured that the optimal energy recovery strategy is selected when various conditions are met, and a forced quit mechanism is set for the conditions that an active safety system is activated, the battery temperature is too high and the like to guarantee safety.
本发明提供了一种基于串联控制的客车制动能量回收控制方法及系统,通过线性霍尔传感器、磁电式轮速传感器监测制动踏板位置和四轮速度及分布式电池状态监测系统收集电池状态数据,并利用卡尔曼滤波处理数据以检测异常值,构建结合LSTM与GNN的制动需求预测模型,根据实时驾驶状态预测制动需求,采用非支配排序遗传算法II进行多目标动态优化,确定最优制动扭矩分配策略,根据实时载荷和路面摩擦系数建立自适应斜率计算模型,动态调整滑行制动介入和退出速率,设立分级能量回收控制策略,设定优先级机制,确保在满足多种条件时选择最优能量回收策略,并针对主动安全系统激活、电池温度过高等情况设置了强制退出机制以保障安全性。
Passenger car braking energy recovery control method and system based on series control
一种基于串联控制的客车制动能量回收控制方法及系统
2025-05-06
Patent
Electronic Resource
Chinese
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