Construction of Typical Driving Cycle for Tram

CHEN Weirong; LIU Yubei; DAI Chaohua; GUO Ai; AN Qi; SHI Fangli

doi:10.3969/j.issn.0258-2724.20190268

Volume 55 Issue 6

Dec. 2020

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Journal of Southwest Jiaotong University > 2020 > 55(6): 1141-1146, 1190.

CHEN Weirong, LIU Yubei, DAI Chaohua, GUO Ai, AN Qi, SHI Fangli. Construction of Typical Driving Cycle for Tram[J]. Journal of Southwest Jiaotong University, 2020, 55(6): 1141-1146, 1190. doi: 10.3969/j.issn.0258-2724.20190268

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CHEN Weirong, LIU Yubei, DAI Chaohua, GUO Ai, AN Qi, SHI Fangli. Construction of Typical Driving Cycle for Tram[J]. Journal of Southwest Jiaotong University, 2020, 55(6): 1141-1146, 1190. doi: 10.3969/j.issn.0258-2724.20190268

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Construction of Typical Driving Cycle for Tram

doi: 10.3969/j.issn.0258-2724.20190268

Received Date: 29 Mar 2019
Rev Recd Date: 27 Mar 2020

Available Online: 10 Apr 2020

Publish Date: 15 Dec 2020

Abstract

Abstract

In order to reflect the real driving characteristics and operating parameters of new-energy trams in rail transit, and provide a basis for the design and control of trams, a typical driving cycle was constructed. Firstly, according to the tram operation data and tram lines in the cities of Paris, Budapest and Melbourne, the clustering analysis was used to obtain the driving features with dimensional reduction; and then the typical driving cycle based on Markov chain principle was built. Finally, a comparative analysis was made between the constructed typical tram driving cycle and the existing driving conditions, and the constructed typical driving cycle was validated by simulation. The results show that the average deviation of driving characteristic parameters between the constructed driving cycle and driving database population is 2.63%, which meets the development accuracy requirement, i.e., the deviation should be less than 5%. In addition, the demand power error under the typical driving cycle and actual driving cycle was only 1.78%, which verifies the accuracy of typical driving cycle.
- driving cycle,
- tram,
- cluster analysis,
- Markov chain

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References(19)

References

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