On the use of Dynamic Programming in eco-driving cycle computation for electric vehicles
| Autor: | Yann Chamaillard, Cédric Nouillant, Guillaume Colin, D. Maamria, Kristan Gillet |
|---|---|
| Přispěvatelé: | F2ME, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
050210 logistics & transportation
0209 industrial biotechnology Engineering energy management business.industry Energy management Computation 05 social sciences Control engineering 02 engineering and technology Energy consumption Optimal control 7. Clean energy [SPI.AUTO]Engineering Sciences [physics]/Automatic Vehicle dynamics Dynamic programming 020901 industrial engineering & automation State of charge Control theory 0502 economics and business business Driving cycle |
| Zdroj: | 2016 IEEE Conference on Control Applications (CCA) 2016 IEEE Conference on Control Applications (CCA), Sep 2016, Buenos Aires, Argentina. pp.1288-1293, ⟨10.1109/CCA.2016.7587984⟩ CCA |
| DOI: | 10.1109/CCA.2016.7587984⟩ |
| Popis: | International audience; This paper considers the problem of eco-driving for electric cars. This problem is formulated as an Optimal Control Problem (OCP) aiming at minimizing the vehicle's energy consumption over fixed time and distance horizons. The impact of battery parameter variations and auxiliary power demands on the optimal vehicle velocity computation are studied from a model complexity viewpoint. Simulation results are presented and discussed to illustrate the suggested simplifications. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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