Optimal sizing of diesel-electric hybrid powertrain for locomotive

ZHANG Chi; WU Jian; ZHANG Weige; ZHENG Xinjie; CHE Zhanghang; ZHU Zhenlin

doi:10.13890/j.issn.1000-128X.2022.03.012

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Optimal sizing of diesel-electric hybrid powertrain for locomotive

Hybrid Power and Hydrogen Energy Application | 更新时间：2024-08-02

- Optimal sizing of diesel-electric hybrid powertrain for locomotive
- Electric drive for locomotives Issue 3, Pages: 89-101(2022)
- 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：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2022.03.012
  CLC： U267;TM921
- Published：10 May 2022，
  
  Received：02 March 2022，
  
  Revised：21 April 2022，
- 稿件说明：
扫描看全文
ZHANG Chi, WU Jian, ZHANG Weige, et al. Optimal sizing of diesel-electric hybrid powertrain for locomotive. [J]. Electric drive for locomotives (3):89-101(2022)
DOI：

ZHANG Chi, WU Jian, ZHANG Weige, et al. Optimal sizing of diesel-electric hybrid powertrain for locomotive. [J]. Electric drive for locomotives (3):89-101(2022) 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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