The invention discloses a robust HDP energy management system and method for an extended-range loader. The system comprises a control layer and an execution layer. The control layer comprises a vehicle-mounted data collector, a demand power mapping module, a vehicle system model, an optimization objective function construction module, a robust HDP energy management controller, an engine controller and a BMS controller. The vehicle-mounted data acquisition unit acquires system state parameters of the vehicle in real time; the demand power mapping module obtains demand power of a driving motor; the vehicle system model takes the vehicle speed at the next moment and the battery SOC as output; the robust HDP energy management controller calculates the power distributed to the engine and the power distributed to the battery pack; the engine controller is used for controlling the power output of the engine, and the BMS controller is used for controlling the power output of the battery pack. According to the invention, the dependence of the strategy on the analytical model is reduced, the strategy is good in real-time performance, and the online updating method of the vehicle system model improves the working condition adaptability and robustness of the energy management strategy.
本发明公开了一种面向增程式装载机的鲁棒HDP能量管理系统及方法,该系统包括控制层和执行层;控制层包括车载数据采集器、需求功率映射模块、车辆系统模型、优化目标函数构建模块、鲁棒HDP能量管理控制器、发动机控制器及BMS控制器;车载数据采集器实时获取车辆的系统状态参数;需求功率映射模块得到驱动电机的需求功率;车辆系统模型以下一时刻的车速、电池SOC作为输出;鲁棒HDP能量管理控制器计算出分配给发动机功率和分配给电池包功率;发动机控制器用于控制发动机的功率输出,BMS控制器用于控制电池包的功率输出。本发明降低了策略对解析模型的依赖性,策略实时性好,且车辆系统模型的在线更新方法提高了能量管理策略的工况适应性和鲁棒性。
Robust HDP energy management system and method for extended-range loader
一种面向增程式装载机的鲁棒HDP能量管理系统及方法
2024-10-22
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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