A Dynamic Programming Approach for Thermal Comfort Control in Electric Vehicles
| Autor: | Francis Roy, Florence Ossart, Mohamed Bakhouya, Anas Lahlou, Emmanuel Boudard |
|---|---|
| Přispěvatelé: | PSA Peugeot - Citroën (PSA), PSA Peugeot Citroën (PSA), Laboratoire Génie électrique et électronique de Paris (GeePs), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Mohammed V de Rabat [Agdal] |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
HVAC system supervisor
business.product_category Dynamic Programming energy management Computer science Energy management 020209 energy Control (management) improved comfort HVAC system consumption 02 engineering and technology Thermal comfort 7. Clean energy driving speed HVAC Automotive engineering vehicle driving range efficient control approaches climatic conditions main auxiliary load energy saving Range (aeronautics) Electric vehicle 0202 electrical engineering electronic engineering information engineering electric vehicle model EVs electric vehicles Electric Vehicle Supervisor business.industry [SPI.NRJ]Engineering Sciences [physics]/Electric power optimization approach energetic cost Dynamic programming thermal comfort control business dynamic programming approach |
| Zdroj: | Vehicle Power Propulsion Conference VPPC 2018 Vehicle Power Propulsion Conference VPPC 2018, Aug 2018, Chicago, United States. pp.1-6, ⟨10.1109/vppc.2018.8604983⟩ |
| DOI: | 10.1109/vppc.2018.8604983⟩ |
| Popis: | International audience; The HVAC system represents the main auxiliary load in electric vehicles (EVs) and requires efficient control approaches that balance energy saving and thermal comfort. In fact, passengers always demand more comfort, but on the other hand the HVAC system consumption strongly impacts the vehicle driving range, which constitutes the major concern in EVs. In this paper, dynamic programming is applied to develop an HVAC system supervisor that optimizes the thermal comfort on a given journey, for given climatic conditions and energy available. The electric vehicle model and the optimization approach are presented. Two test- cases, corresponding to hot climate, are simulated. In the first one, the energetic cost of improved comfort is quantified, while in the second one the trade-off between driving speed and thermal comfort is analyzed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|