考虑实时质量的公交车预测能量管理策略研究  

Research on bus predictive energy management strategy considering real-time mass

作　　者：蒙心蕊 周英超 李波[1] 薛博峰 张俊贤 陈培震 MENG Xinrui;ZHOU Yingchao;LI Bo;XUE Bofeng;ZHANG Junxian;CHEN Peizhen(College of Transportation and Vehicle Engineering,Shandong University of Technology,Zibo 255000,China)

机构地区：[1]山东理工大学交通与车辆工程学院,山东淄博255000

出　　处：《重庆理工大学学报（自然科学）》2024年第8期98-106,共9页Journal of Chongqing University of Technology：Natural Science

基　　金：国家自然科学基金项目(52375105);山东省优秀青年人才基金项目(ZR2022YQ51);山东省重大科技创新工程项目(2019JZZY010911)。

摘　　要：现有关于混合动力公交车能量管理策略的研究多基于固定质量,无法体现车辆实际行驶过程中整车载荷变化,因此提出一种考虑车辆实时质量变化的预测能量管理策略。利用混合动力公交车整车模型和基于规则的能量管理策略,探究车辆质量变化对公交车行驶能耗的影响。提出基于强跟踪扩展卡尔曼滤波(STEKF)算法的车辆质量估计方法,仿真发现该算法估计结果相对误差控制在3%以内,具有较高的估计精度及较快的收敛速度。基于长短期记忆网络(LSTM)预测的车辆未来工况信息和STEKF模型所获得的质量信息,提出一种基于DP-MPC的混合动力公交车分层预测能量管理策略,通过仿真发现,相较于基于规则的能量管理策略,所提出的控制策略节油效果提高14.85%,显著提升整车燃油经济性,对未来车辆的精细化管理具有重要的现实意义。The existing research on energy management strategy of hybrid electric bus is mostly based on fixed mass and fails to reflect the change of vehicle load in the actual driving process of the vehicle.This paper proposes a predictive energy management strategy considering the real-time mass change of the vehicle.First,based on the hybrid bus model and the rule-based energy management strategy,the influence of vehicle mass change on bus driving energy consumption is explored.Second,a vehicle quality estimation method based on strong tracking extended Kalman filter(STEKF)algorithm is proposed.After simulation,the relative error of the estimation results of the algorithm is controlled within 3%,which achieves a high estimation accuracy and a fast convergence speed.Finally,based on the future working condition information of the vehicle predicted by the long-term and short-term memory network(LSTM)and the quality information obtained by the STEKF model,a hierarchical predictive energy management strategy for hybrid electric buses based on DP-MPC is proposed.Through simulation verification,compared with the rule-based energy management strategy,the proposed control strategy cuts the fuel consumption by 14.85%,markedly improving the vehicle’s fuel economy,and it holds important practical significance for the fine vehicle management.

关 键 词：混合动力公交车 整车质量估计 工况预测 能量管理策略 

分 类 号：U461[机械工程—车辆工程]