Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid

CHEN Weirong; SHI Fangli; DAI Chaohua; AN Qi; LIU Yubei; LIU Yang

doi:10.3969/j.issn.0258-2724.20181071

Volume 55 Issue 2

Mar. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(2): 409-416.

CHEN Weirong, SHI Fangli, DAI Chaohua, AN Qi, LIU Yubei, LIU Yang. Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071

Citation:

CHEN Weirong, SHI Fangli, DAI Chaohua, AN Qi, LIU Yubei, LIU Yang. Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid[J]. Journal of Southwest Jiaotong University, 2020, 55(2): 409-416. doi: 10.3969/j.issn.0258-2724.20181071

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Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid

doi: 10.3969/j.issn.0258-2724.20181071

Received Date: 19 Dec 2018
Rev Recd Date: 29 Mar 2019

Available Online: 18 Apr 2019

Publish Date: 01 Apr 2020

Abstract

Abstract

In order to improve system efficiency and operational economy of hybrid tram, according to the relationship between dynamic degree of hybrid (DDOH) and system efficiency, a hybrid tram energy management strategy (EMS) based on DDOH online convex programming is proposed. Firstly, each component is modeled based on system parameters of the hybrid tram. Secondly, the online convex programming method is used to solve the problem, and the real-time optimal DDOH data of the system is obtained. Finally, the effect of DDOH on system efficiency is observed by RT-LAB real-time simulation platform under typical tram conditions. The results show that the relationship between DDOH and system efficiency fits a convex curve. The instantaneous efficiency is improved by 9.6% when we use DDOH online convex programming energy management strategy, compared to the situation using traditional energy-followed energy management strategy with same parameters. For a complete running circle, the power can be saved by 2 886.2 kJ, and the operational economy can be improved by 3.29%.
- hybrid tram,
- DDOH,
- system efficiency,
- operational economy

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References(26)

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Energy Management Strategy of Hybrid Tram Based on Dynamic Degree of Hybrid

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