吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (1): 8-14.doi: 10.13229/j.cnki.jdxbgxb201701002

• 论文 • 上一篇    下一篇

基于动态规划的复合电源能量管理优化

宋传学, 周放, 肖峰   

  1. 吉林大学 汽车仿真与控制国家重点实验室,长春 130022
  • 收稿日期:2015-12-20 出版日期:2017-01-20 发布日期:2017-01-20
  • 作者简介:宋传学(1959-),男,教授,博士生导师.研究方向:汽车系统动力学.E-mail:songchx@126.com
  • 基金资助:
    吉林省科技厅重点科技攻关项目(20150204017GX).

Energy management optimization of hybrid energy storage system (HESS) based on dynamic programming

SONG Chuan-xue, ZHOU Fang, XIAO Feng   

  1. State Key Laboratory of Automotive Simulation and Control,Jilin University,Changchun 130022,China
  • Received:2015-12-20 Online:2017-01-20 Published:2017-01-20

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摘要： 以复合电源能耗和电池组容量损失最小化为目标建立多目标优化模型,将电池组容量损失视为状态变量,将多目标优化问题转化为单目标多状态形式,并应用动态规划进行求解,得到Pareto解集。分析优化结果,提取了数条功率分配规律,并基于此提出基于规则的能量管理策略。对控制策略进行仿真验证,结果表明:与动态规划结果相比,复合电源能耗增加1%,电池容量损失增加0.4%,达到了与动态规划相近的效果,在线能量管理策略同时在两个目标上近似最优。

关键词: 车辆工程, 复合电源, 能量管理, 多目标动态规划, 容量损失

Abstract: A multi-objective optimization method aiming at minimizing HESS energy consumption and battery capacity loss is proposed. The battery loss is considered as a state variable, then, the multi-objective optimization problem is transformed into single objective with two state variables. The optimization problem is solved using dynamic programming algorithm, thus obtaining the Pareto-optimal sets. The optimization result is analyzed and a series of control rules are acquired, then, based on these rules, a rule-based power slitting strategy is proposed. Finally, the proposed strategy is simulated under Urban Dynamometer Driving Schedule condition. Results show that, compared with dynamic programming results, HESS energy consumption increases by 1%, and battery capacity loss increases by 0.4%, similar effect with dynamic programming is achieved. This proposed online ene4gy management is sub-optimal on both targets.

Key words: vehicle engineering, hybrid energy storage system, energy management, multi-objective dynamic programming, capacity losses

中图分类号: 

  • U461.8
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