Smart and Green ACC: Energy and Safety Optimization Strategies for EVs

Sagar Akhegaonkar 1 Lydie Nouveliere 2 Sébastien Glaser 3
1 UEVE - Université d'Évry-Val-d'Essonne
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
3 IFSTTAR/COSYS/LIVIC - Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs
Abstract : Minimum energy expense and maximum safety with some comfort characterizes the definition of ideal human mobility. Recent technological advances in the autonomous vehicle driving systems not only enhance the safety and/or comfort levels but also present a significant opportunity for automated eco-driving. In this regard, a longitudinal controller for a smart and green autonomous vehicle (SAGA) is investigated. In principle, it is an eco-adaptive cruise control which aims at minimizing energy expenditure and maximizing energy regeneration. This paper presents detailed energy and powertrain analysis through the simulation of specific SAGA application concepts such as, dynamic programming-based offline acceleration optimization for a battery electric vehicle, or SAGA as a supervisory controller in combination with equivalent consumption minimization strategy for a hybrid electric vehicle. The main focus is on the evaluation of a vehicle energy manager which autonomously controls the longitudinal motion while actively balancing efficiency and safety. The comfort is not directly addressed in the conception but regarded as a quality criterion.
Keywords : Vehicle safety Regenerative braking Autonomous vehicle control Electric vehicle Energy efficiency Powertrain operation strategy
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Journal articles
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Submitted on : Monday, June 26, 2017 - 11:50:31 AM
Last modification on : Monday, February 10, 2020 - 11:42:10 AM

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UNIV-EVRY | IBISC | IBISC-SIBI | TDS-MACS | IFSTTAR | UNIV-PARIS-SACLAY

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Sagar Akhegaonkar, Lydie Nouveliere, Sébastien Glaser. Smart and Green ACC: Energy and Safety Optimization Strategies for EVs. IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2018, 48 (1), pp.142--153. ⟨10.1109/TSMC.2016.2600273⟩. ⟨hal-01547029⟩

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