Learning Based Energy Management Strategy Offline Trainers Comparison for Plug-In Hybrid Electrical Buses

Jon Ander Lopez-Ibarra, Haizea Gaztanaga, Yancho Todorov, Mikko Pihlatie

Research output: Contribution to conferenceConference articleScientificpeer-review

Abstract

The automotive industry is facing a transformation towards the massive digitalization and data-acquisition of the vehicles operation. The exploitation of operational data opens up new opportunities in the energy efficiency improvement of the vehicles. In this regard, the combination of optimization techniques with neural networks and fuzzy systems in one unified framework, known as learning-based energy management strategies, have been identified as promising methods. These learning-based techniques combine the optimized operation with the IF-THEN human-type reasoning simplicity of a fuzzy system through neural-type of learning. Therefore, fuzzy-neural networks are the bridge that allows to learn offline from the optimal operation and design energy management strategy for real time implementation. In this regard, the main contribution of this paper lies on the comparison of a previously developed ANFIS approach with a simpler Neo-Fuzzy neuron based, with the aim to evaluate the tradeoff between accuracy and computational and structural efficiency. The proposed approach represents a fuzzy-neural structure with less parameters for training that is expected to facilitate its future real time application for energy management strategies for each bus from a fleet operating on a predefined route.
Original languageEnglish
Publication statusAccepted/In press - 2020
MoE publication typeNot Eligible
EventIEEE Vehicular Power and Propulsion Conference, IEEE VPPC 2020: Online - Virtual
Duration: 26 Oct 202018 Dec 2020
https://events.vtsociety.org/vppc2020/

Conference

ConferenceIEEE Vehicular Power and Propulsion Conference, IEEE VPPC 2020
Abbreviated titleVPPC 2020
Period26/10/2018/12/20
Internet address

Keywords

  • neural network
  • fuzzy logic
  • neo-fuzzy neuron
  • backpropagation
  • dynamic optimization

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    Lopez-Ibarra, J. A., Gaztanaga, H., Todorov, Y., & Pihlatie, M. (Accepted/In press). Learning Based Energy Management Strategy Offline Trainers Comparison for Plug-In Hybrid Electrical Buses. Paper presented at IEEE Vehicular Power and Propulsion Conference, IEEE VPPC 2020, .