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International Conference on Informatics in Control, Automation and Robotics

ICINCO 2017: Informatics in Control, Automation and Robotics pp 150–173Cite as

Reliable Energy Management Optimization in Consideration of Battery Deterioration for Plug-In Intelligent Hybrid Vehicle

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 495))

Abstract

This chapter proposes an intelligent energy management for hydraulic-electric hybrid vehicle in order to minimize its total energy consumption while ensuring a better battery life. It proposes first to model the total energy consumption of the vehicle and investigate the minimization of an expended energy function, formulated as the sum of electrical energy provided by on-board batteries and consumed fuel. More precisely, it is proposed in this chapter an intelligent hierarchical controller system which shows its capabilities of increasing the overall vehicle energy efficiency and therefore minimizing total energy consumption, permitting to increase the distance between refueling. The proposed strategy consists of fuzzy supervisory fault management at the highest level (third), that can detect and compensate the battery faults, regulate all of the possible vehicles operation modes. In the second level, an optimal controller is developed based on artificial intelligence to manage power distribution between electric motor and engine. Then, in the first level, there are local fuzzy tuning proportional-integral-derivative controllers to regulate the set points of each vehicle subsystems to reach the best operational performance. TruckMaker/MATLAB simulation results confirm that the proposed architecture can satisfy the power requirement for any unknown driving cycles and compensate battery faults effects.

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Acknowledgement

This project is supported by the ADEME (Agence De l’Environnement et de la Maitrise de l’Energie) for the National French program Investissement d’Avenir, through BUSINOVA Evolution project. This project received also the support of IMoBS3 Laboratory of Excellence (ANR-10-LABX-16-01).

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Authors and Affiliations

  1. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Menoufia, Egypt

    Elkhatib Kamal

  2. Institut Pascal/Innovative Mobility: Smart and Sustainable Solutions, UCA/SIGMA, UMR CNRS 6602, 63000, Clermont-Ferrand, France

    Elkhatib Kamal & Lounis Adouane

Authors
  1. Elkhatib Kamal
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  2. Lounis Adouane
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Correspondence to Elkhatib Kamal .

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Editors and Affiliations

  1. Ford Research and Advanced Engineering, Dearborn, MI, USA

    Oleg Gusikhin

  2. University of Paris-EST Créteil (UPEC), Vitry sur Seine, France

    Kurosh Madani

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Kamal, E., Adouane, L. (2020). Reliable Energy Management Optimization in Consideration of Battery Deterioration for Plug-In Intelligent Hybrid Vehicle. In: Gusikhin, O., Madani, K. (eds) Informatics in Control, Automation and Robotics . ICINCO 2017. Lecture Notes in Electrical Engineering, vol 495. Springer, Cham. https://doi.org/10.1007/978-3-030-11292-9_8

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