汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (3): 239-244.doi: 10.19562/j.chinasae.qcgc.2019.03.001

• •    下一篇

基于约束终止状态的行星混合动力系统全局优化算法*

曾小华,王越,杨南南,宋大凤,李广含   

  1. 吉林大学,汽车仿真与控制国家重点实验室,长春 130025
  • 收稿日期:2018-01-24 出版日期:2019-03-25 发布日期:2019-03-25
  • 通讯作者: 宋大凤,副教授,E-mail:songdf@jlu.edu.cn
  • 基金资助:
    国家自然科学基金(5157050515)资助

Global Optimization Algorithm for Planetary Hybrid Powertrain Based on Constrained Termination State

Zeng Xiaohua, Wang Yue, Yang Nannan, Song Dafeng & Li Guanghan   

  1. Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun 130025
  • Received:2018-01-24 Online:2019-03-25 Published:2019-03-25

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摘要： 针对全局优化算法计算量大和优化目标中罚函数不确定性的问题,提出一种分层优化架构,利用瞬时最优控制策略实现底层控制的优化,而利用全局优化策略实现顶层控制的优化。同时,在全局优化策略中采用基于受约束终止状态的边界求解方法,有效避免了为实现电量平衡而进行的大量调试工作,提升了计算效率。仿真结果表明,该优化算法提升了系统综合效率,实现了整车油耗的进一步降低。

关键词: 行星式混合动力系统, 全局优化, 瞬时最优控制, 受约束终止状态

Abstract: Aiming at the problem of global optimization algorithm, i.e. the huge amount of calculation and the uncertainty of penalty function in optimization objective, a hierarchical optimization framework is proposed, in which the optimization on bottom layer control is realized by using instantaneous optimal control strategy while the optimization on top layer is achieved by global optimization strategy. Meanwhile, the boundary solving method based on constrained termination state is adopted, effectively avoiding enormous debugging work for achieving the electricity balance of battery and raising calculation efficiency. The simulation results show that the optimization algorithm enhances the overall efficiency of system and further reduces the fuel consumption of vehicle

Key words: planetary hybrid powertrain, global optimization, instantaneous optimal control, constrained termination state