An Economic Driving Energy Management Strategy for the Fuel Cell Bus

Jinquan Guo, Hongwen He*, Zhongbao Wei, Jianwei Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Compared with passenger cars, the fuel cell bus (FCB) driving cycles have obvious periodicity. Therefore, based on the driving cycles' periodicity characteristics and the traditional velocity prediction energy management strategy (EMS), this article proposes an economic driving EMS (EDEMS) for the FCB. In EDEMS, two scenarios are designed for the bus line condition: when there is no front bus in the bus lane (main scenario), the FCB can follow a trapezoidal programming curve (TPC)-based speed planning from the bus station out/in, which reduce the intersection stop condition, and the speed planning as the input applied to the model predictive control (MPC)-based EMS; otherwise, traditional velocity prediction is used in the MPC-based EMS (backup scenario). Moreover, the busload change at the bus station is added for the EDEMS cost function, which can accurately calculate the energy consumption and optimal energy allocation. The results show that the main scenario can reduce the intersection stop driving condition and the energy efficiency can improve by approximately 6.70% compared with the backup EMS. Overall, the EDMES can be applied to any bus route in the network environment and to further improve the comprehensive performance of FCB.

Original languageEnglish
Pages (from-to)5074-5084
Number of pages11
JournalIEEE Transactions on Transportation Electrification
Volume9
Issue number4
DOIs
Publication statusPublished - 1 Dec 2023

Keywords

  • Energy management strategy (EMS)
  • fuel cell bus (FCB)
  • model predictive control (MPC)
  • speed planning
  • trapezoidal programming curve (TPC)

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