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机车油电混合动力系统的优化匹配
Optimal sizing of diesel-electric hybrid powertrain for locomotive
- 机车电传动 2022年第3期 页码：89-101
- 作者机构：
1.北京交通大学 电气工程学院，北京 100044
2.国家能源主动配电网技术研发中心，北京;100044
- 作者简介：
吴 健（1970—），男，教授，博士生导师，主要从事载运工具运用工程、新能源机车车辆以及储能系统等方面的研究；E-mail: jianwu@bjtu.edu.cn
- 基金信息：中国国家铁路集团有限公司科技研究开发计划项目(N2021J031)
DOI：10.13890/j.issn.1000-128X.2022.03.012
中图分类号： U267;TM921纸质出版日期：2022-05-10，
收稿日期：2022-03-02，
修回日期：2022-04-21，
- 稿件说明：
扫 描 看 全 文
张弛, 吴健, 张维戈, 等. 机车油电混合动力系统的优化匹配[J]. 机车电传动, 2022,(3):89-101.
ZHANG Chi, WU Jian, ZHANG Weige, et al. Optimal sizing of diesel-electric hybrid powertrain for locomotive[J]. Electric drive for locomotives, 2022,(3):89-101.
张弛, 吴健, 张维戈, 等. 机车油电混合动力系统的优化匹配[J]. 机车电传动, 2022,(3):89-101. DOI： 10.13890/j.issn.1000-128X.2022.03.012.
ZHANG Chi, WU Jian, ZHANG Weige, et al. Optimal sizing of diesel-electric hybrid powertrain for locomotive[J]. Electric drive for locomotives, 2022,(3):89-101. DOI： 10.13890/j.issn.1000-128X.2022.03.012.
摘要
混合动力系统的配置参数将影响机车的全寿命周期成本，该参数是开发混合动力机车的关键。传统的双环优化匹配方法，虽然能够求解出优化的配置参数，但利用动态规划算法作为优化能量管理的内环，导致了优化计算的时间十分漫长。为了解决该问题，本文提出了一种快速的双环优化匹配方法。在外环，粒子群算法以减少全寿命周期成本为目标，优化配置参数。在内环，庞特里亚金极小值原理(Pontryagin's minimum principle
PMP)以减少列车油耗、提高电池寿命为目标，针对外环优化过程中的每一种配置参数均优化其能量管理，并将优化结果反馈给外环。仿真表明，与传统的双环优化匹配方法相比，文章提出的快速双环优化匹配方法不仅能够获取与其相同的优化配置参数，而且计算速度得到了极大改进。
Abstract
The sizing parameters of the hybrid powertrain affect the life cycle cost of locomotives
which is critical for the development of hybrid locomotives. Although the traditional bi-loop optimal sizing method can generate the optimal parameters
the dynamic programming algorithms used as the inner-loop to improve energy management strategy results in a long computation time. A fast bi-loop optimal sizing method was proposed in this paper. In the outer loop
the particle swarm algorithm was applied to optimize the sizing parameters
aimed at reducing the life cycle cost. In the inner loop
the Pontryagin’s minimum principle (PMP) was applied to optimize the energy management for each sizing parameter generated in the outer loop
aimed at reducing train fuel consumption and improving battery life. Then the optimal results were fed back to the outer loop. It was shown from simulations that the fast bi-loop optimal sizing method proposed in this paper can not only generate the same optimal sizing parameters as the traditional bi-loop optimal sizing method
but also significantly improve the computation speed.
关键词
混合动力系统双环优化能量管理策略粒子群优化庞特里亚金极小值原理仿真
Keywords
hybrid powertrainbi-loop optimizationenergy management strategyparticle swarm optimizationPontryagin's minimum principlesimulation
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