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兵工学报 ›› 2017, Vol. 38 ›› Issue (12): 2289-2300.doi: 10.3969/j.issn.1000-1093.2017.12.001

• 论文 • 上一篇    下一篇

电传动装甲车辆混合动力系统功率流控制策略

廖自力1, 项宇2, 刘春光1, 李嘉麒1   

  1. (1.陆军装甲兵学院 兵器与控制系, 北京 100072; 2.61081部队, 北京 100094)
  • 收稿日期:2017-03-08 修回日期:2017-03-08 上线日期:2018-02-01
  • 通讯作者: 项宇(1987—), 男, 工程师, 博士 E-mail:xiangyu_work@foxmail.com
  • 作者简介:廖自力(1974—), 男, 副教授, 博士生导师。 E-mail: liaozili19740309@sohu.com
  • 基金资助:
    国家自然科学基金项目(51507190)

Power Flow Control Strategy of Hybrid Power System of Electric Drive Armored Vehicle

LIAO Zi-li1, XIANG Yu2, LIU Chun-guang1, LI Jia-qi1   

  1. (1.Department of Arms and Control Engineering,Academy of Army Armored Force,Beijing 100072, China;2.Unit 61081of PLA,Beijing 100094, China)
  • Received:2017-03-08 Revised:2017-03-08 Online:2018-02-01

摘要: 针对一种串联式电传动装甲车辆混合动力系统,制定了多算法联合的多动力源系统功率流控制策略,由不同的控制算法实现不同的控制目标。利用小波变换算法分离负载需求功率中的高频分量和低频分量,分别分配给超级电容和具有较低输出截止频率的动力源,实现负载频率特性与动力源输出特性相匹配。采用模糊控制算法实现了电池的荷电状态工作范围的优化控制,设计了基于系统效率最优的负载需求功率低频分量的二次分配策略,实现了负载需求功率低频分量在发动机-发电机组和电池间分流时的系统瞬时效率最优控制。仿真分析和实车试验结果表明:所设计的功率流控制算法实现了对多动力源系统的多目标优化控制,达到了预期的控制目标,可应用于电传动装甲车辆混合动力系统的功率流控制。

关键词: 兵器科学与技术, 电传动装甲车辆, 混合动力系统, 功率流控制, 小波变换, 模糊控制, 瞬时效率最优控制

Abstract: A multi-algorithm-based power flow control strategy is established for a kind of power source of series hybrid drive system, in which the disparate control objectives are realized by using different algorithms. The wavelet transform is used to separate the high and low frequency components of the load demand power. The frequency values are distributed to the super capacitor and the power sources with low output cutoff frequency to realize the matching of load frequency characteristic and power source output characteristic. The fuzzy controller is used to realize the optimal control of battery state of charge. A secondary allocation strategy is designed to control optimally the instantaneous efficiency of system when the low frequency component of optimal load demand power is allocated between battery and engine-generator set. The simulation analysis and vehicle test results show that the proposed power flow control algorithm can be used for the multiobjective optimization control of multi-power source system, and it is suitable for power flow control of armored vehicle hybrid power system.Key

Key words: ordnancescienceandtechnology, electricdrivearmoredvehicle, hybridpowertrain, powermanagement, wavelettransform, fuzzycontrol, systemefficiencyoptimalcontrol

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