Smart and Green ACC: Energy and Safety Optimization Strategies for EVs
| Autor: | Sagar Akhegaonkar, Frederic Holzmann, Sebastien Glaser, Lydie Nouveliere |
|---|---|
| Přispěvatelé: | Université d'Évry-Val-d'Essonne (UEVE), Informatique, Biologie Intégrative et Systèmes Complexes (IBISC), Laboratoire sur les Interactions Véhicules-Infrastructure-Conducteurs (IFSTTAR/COSYS/LIVIC), Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
business.product_category
Powertrain Energy management Computer science 020209 energy Regenerative braking Powertrain operation strategy 02 engineering and technology Vehicle safety Electric vehicle 7. Clean energy Automotive engineering [SPI.AUTO]Engineering Sciences [physics]/Automatic Control theory 11. Sustainability 0202 electrical engineering electronic engineering information engineering Battery electric vehicle Electrical and Electronic Engineering Cruise control Autonomous vehicle control Computer Science Applications Human-Computer Interaction Energy efficiency Regenerative brake Control and Systems Engineering business Synchronous motor Software Efficient energy use |
| Zdroj: | IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, 2018, 48 (1), pp.142--153. ⟨10.1109/TSMC.2016.2600273⟩ IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018, 48 (1), pp.142--153. ⟨10.1109/TSMC.2016.2600273⟩ |
| ISSN: | 2168-2216 |
| DOI: | 10.1109/TSMC.2016.2600273⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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