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金属矿山 ›› 2025, Vol. 54 ›› Issue (12): 159-166.

• 机电与自动化 • 上一篇    下一篇

混合动力矿用卡车最优能量管理及实时控制策略研究

李洪亮 张国靖   

  1. 内蒙古科技大学矿业与煤炭学院,内蒙古 包头 014010
  • 出版日期:2025-12-15 发布日期:2025-12-31
  • 作者简介:李洪亮(1980—),男,副教授,博士,硕士研究生导师。
  • 基金资助:
    内蒙古自治区高等学校科学研究重点项目(编号:NJZZ22444);内蒙古自治区直属高校基本科研业务费(编号:2023QNJS102)。

Research on Optimal Energy Management and Real-time Control Strategy for Hybrid Mining Trucks

LI Hongliang ZHANG Guojing   

  1. School of Mining and Coal,Inner Mongolia University of Science and Technology,Baotou 014010,China
  • Online:2025-12-15 Published:2025-12-31

摘要: 以混合动力矿用卡车的混合动力系统为研究对象,对其最优能量管理及实时控制策略进行了研究。基 于确定性规则的能量管理策略实时性好,但很难实现燃油经济性最优。基于动态规划(Dynamic Programming,DP)的 能量管理策略能够实现全局最优,然而难以实现实时控制。将2种能量管理策略进行整合,建立一种最优能量管理策 略,并实现实时控制。首先利用DP算法获得混合动力矿用卡车的全局最优能量管理策略,对最优解进行整合并提取 最优控制规则;然后设计基于最优控制规则的能量管理策略以实现在线控制,有效解决了规则策略仅能对“控制参 数”优化、不能对“控制规则”优化的问题,完成了能量管理策略最优性和实时性的综合实现。将该能量管理策略在 AMESim-Simulink/Stateflow的联合仿真平台上进行仿真验证,仿真结果显示:基于最优控制规则的能量管理策略与基 于DP能量管理策略的转矩分配曲线、动力电池SOC曲线、燃油消耗曲线等仿真结果逼近程度较高,证实了所提出的 最优能量管理及实时控制策略研究的可行性和有效性。

关键词: 混合动力矿用卡车 燃油经济性 能量管理策略 实时控制 全局最优

Abstract: Taking the hybrid power system of hybrid mining truck as the research object,the optimal energy management and real-time control strategy are studied.The energy management strategy based on deterministic rules has good real-time per formance,but it is difficult to achieve optimal fuel economy.The energy management strategy based on Dynamic Programming (DP) can achieve global optimization,but it is difficult to achieve real-time control.This paper integrates two energy manage ment strategies to establish an optimal energy management strategy and achieve real-time control.Firstly,the DP algorithm is used to obtain the global optimal energy management strategy for hybrid mining trucks.The optimal solution is integrated and optimal control rules are extracted.Then,an energy management strategy based on optimal control rules is designed to achieve online control,effectively solving the problem that rule strategies can only optimize "control parameters" and cannot optimize " control rules".The comprehensive implementation of the optimality and real-time performance of energy management strategies is completed.The energy management strategy was simulated and validated on the joint simulation platform of AMESim Simu link/Stateflow.The simulation results showed that the torque distribution curve,power battery SOC curve,fuel consumption curve based on the energy management strategy of optimal control rules and DP energy management strategy had a high degree of approximation,confirming the feasibility and effectiveness of the optimal energy management and real-time control strategy proposed in this paper.

Key words: hybrid mining trucks,fuel economy,energy management strategy,real-time control,global optimization

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