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Novel enhancement of energy management in fuel cell hybrid electric vehicle by an advanced dynamic model predictive control
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Anbarasua, Arivoli, Dinh, Quang Truong and Sengupta, Somnath (2022) Novel enhancement of energy management in fuel cell hybrid electric vehicle by an advanced dynamic model predictive control. Energy Conversion and Management, 267 . 115883. doi:10.1016/j.enconman.2022.115883 ISSN 0196-8904.
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Official URL: https://doi.org/10.1016/j.enconman.2022.115883
Abstract
In this paper, an Advanced Dynamic Model Predictive Control (AMPC) based on a Nonlinear Model Predictive Control (NMPC) framework with a multi-objective cost function driven by dynamic weights is proposed to improve the energy performance of fuel cell hybrid electric vehicles whilst prolonging their component lifetime. By the use of dynamic weights, the cost function is effectively formulated as the combination of fuel consumption, rate of change of fuel cell power, battery power, the fuel cell efficiency, state of charge of the battery, and their temperatures. In order to enhance the adaptability of the AMPC, a Fuzzy Cognitive Map (FCM) is then newly designed to regulate online the dynamic weights to adjust the importance of each cost component according to the conditions prevailing during driving. A comparative study between the proposed AMPC, a constant weight based NMPC and a conventional NMPC having cost function with fewer objectives has been carried out by means of simulation using a FCHEV model from the simulation tool ADVISOR to illustrate the efficacy of the proposed AMPC.
| Item Type: | Journal Article | |||||||||
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| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | |||||||||
| Library of Congress Subject Headings (LCSH): | Fuel cell vehicles -- Batteries, Hybrid electric vehicles -- Batteries, Hybrid electric vehicles -- Power trains, Hybrid electric vehicles -- Fuel consumption, Predictive control | |||||||||
| Journal or Publication Title: | Energy Conversion and Management | |||||||||
| Publisher: | Elsevier Ltd | |||||||||
| ISSN: | 0196-8904 | |||||||||
| Official Date: | 1 September 2022 | |||||||||
| Dates: |
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| Volume: | 267 | |||||||||
| Article Number: | 115883 | |||||||||
| DOI: | 10.1016/j.enconman.2022.115883 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||
| Date of first compliant deposit: | 17 June 2022 | |||||||||
| RIOXX Funder/Project Grant: |
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