Online energy management strategy of fuel cell hybrid electric vehicles based on time series prediction

Daming Zhou, Fei Gao, Alexandre Ravey, Ahmed Al-Durra, Marcelo Godoy Simões

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

A suitable energy management strategy is essential to reduce hydrogen consumption of fuel cell hybrid electric vehicles (FCHEVs) and limiting its negative effects. Many different methods for the energy management of FCHEVs are being used. As common used optimization-based approaches, the genetic algorithm and dynamic programming (DP) are frequently used in global optimization control to improve the efficiency and performance of energy storages in FCHEVs. However, these offline strategies cannot be applied to the vehicle if the driving cycle is not known or predicted. In this paper, an online energy management strategy is proposed base d on time series prediction model nonlinear autoregressive neural network (NARANN). Then, a novel approach using the moving window method is applied, in order to 1) train the prediction model and 2) iteratively perform offline optimization-based strategies. In the proposed strategy, the prediction model can provide accurate online driving cycle. Based on these dynamically predicted driving profiles, the offline optimization-based strategies can be easily applied. The proposed strategy is simulated using actual driving cycle data from an electric Golf Cart. Simulation results show that the effectiveness of the proposed method.

Original languageBritish English
Title of host publication2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-118
Number of pages6
ISBN (Electronic)9781509039043
DOIs
StatePublished - 26 Jul 2017
Event2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017 - Chicago, United States
Duration: 22 Jun 201724 Jun 2017

Publication series

Name2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017

Conference

Conference2017 IEEE Transportation and Electrification Conference and Expo, ITEC 2017
Country/TerritoryUnited States
CityChicago
Period22/06/1724/06/17

Keywords

  • Energy management strategy
  • Fuel cell hybrid electric vehicles (FCHEVs)
  • Moving window method
  • Nonlinear autoregressive neural network (NARANN)

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