Optimal Predictive Eco-Driving Cycles for Conventional, Electric, and Hybrid Electric Cars
Autor: | Guillaume Colin, D. Maamria, Kristan Gillet, Cédric Nouillant, Yann Chamaillard |
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Přispěvatelé: | Laboratoire pluridisciplinaire de recherche en ingénierie des systèmes, mécanique et énergétique (PRISME), Université d'Orléans (UO)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Horizon (archaeology)
Computer Networks and Communications Computer science Aerospace Engineering 020302 automobile design & engineering 02 engineering and technology Energy consumption Optimal control 7. Clean energy [SPI.AUTO]Engineering Sciences [physics]/Automatic 0203 mechanical engineering Control theory Automotive Engineering Torque Electrical and Electronic Engineering Electric cars |
Zdroj: | IEEE Transactions on Vehicular Technology IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, 2019, 68 (7), pp.6320-6330. ⟨10.1109/TVT.2019.2914256⟩ |
ISSN: | 0018-9545 |
DOI: | 10.1109/TVT.2019.2914256⟩ |
Popis: | International audience; In this paper, the computation of eco-driving cycles for electric, conventional and hybrid vehicles using receding horizon and optimal control is studied. The problem is formulated as consecutive-optimization problems aiming at minimizing the vehicle energy consumption under traffic and speed constraints. The impact of the look-ahead distance and the optimization frequency on the optimal speed computation is studied to find a trade-off between the optimality and the computation time of the algorithm. For the three architectures considered, simulation results show that in urban driving conditions, a look-ahead distance of 300m to 500m leads to a sub-optimality less than 1% in the energy consumption compared to the global solution. For highway driving conditions, a look-ahead distance of 1km to 1.5km leads to a sub-optimality less than 2% compared to the global solution. |
Databáze: | OpenAIRE |
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