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兵工学报 ›› 2013, Vol. 34 ›› Issue (11): 1345-1351.doi: 10.3969/j.issn.1000-1093.2013.11.001

• 论文 •    下一篇

履带式混合动力车辆能量管理策略与实时仿真

李军求, 孙逢春, 张承宁   

  1. (北京理工大学 机械与车辆学院, 北京 100081)
  • 收稿日期:2012-07-06 修回日期:2012-07-06 上线日期:2014-01-22
  • 作者简介:李军求(1977—),男,副教授。
  • 基金资助:
    国防“十一五”预先研究项目(40402070104)

Energy Management Strategy and Realtime Simulation of Hybrid Electric Tracked Vehicle

LI Jun-qiu, SUN Feng-chun, ZHANG Cheng-ning   

  1. (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)
  • Received:2012-07-06 Revised:2012-07-06 Online:2014-01-22

摘要: 履带式混合动力车辆的动力性和燃油经济性的优劣在很大程度上取决于能量管理方法。根据车载能源输出特性和车辆行驶功率的需求,提出了一种发动机负载功率跟随和电池组功率补偿的能量管理策略,并给出了发动机、电池组和驱动电机等被控制对象功率平衡的实现方法。同时在dSPACE中搭建了“驾驶员-综合控制器”在环的履带式混合动力车辆能量管理实时仿真平台,进行了基于驾驶员真实输入的实时仿真研究。仿真结果表明,发动机沿最佳燃油消耗曲线工作,动力电池及时功率补偿,并能较好满足车辆最高车速、B/2转向等机动性所需功率变化,实现了车辆机动性和燃油经济性的良好匹配。

关键词: 兵器科学与技术, 履带车辆, 混合动力, 能量管理, 实时仿真

Abstract: The dynamics and fuel efficiency of hybrid electric tracked vehicle are largely restricted with energy management strategy. A new energy management strategy for engine power following and battery pack power compensating is proposed according to the output characteristics of power source and the driving demand of vehicle, and a power balance method is presented for engine, battery pack and motor, etc. A realtime simulation platform for the energy management of hybrid electric tracked vehicle with “driver and vehicle controller” is established in dSPACE. The realtime simulation research on the operation input of driver is conducted. The simulation results show that the engine works according to the optimal fuel consumption curve and the intime power compensation of battery packs, and the energy management strategy meets the power changes of some vehicle driving, such as maximum speed and B/2 steering situation, to implement the better dynamics and fuel efficiency of hybrid electric tracked vehicle.

Key words: ordnance science and technology, tracked vehicle, hybrid power source, energy management, realtime simulation

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