Scipediacontent: Scipediacontent moved page Draft Content 563246253 to Ossart et al 2018a

2021-01-28T19:06:04Z

Scipediacontent moved page Draft Content 563246253 to Ossart et al 2018a

Scipediacontent: Created page with " == Abstract == International audience; The HVAC system represents the main auxiliary load in electric vehicles (EVs) and requires efficient control approaches that balance e..."

2021-01-28T19:05:59Z

Created page with " == Abstract == International audience; The HVAC system represents the main auxiliary load in electric vehicles (EVs) and requires efficient control approaches that balance e..."

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== Abstract ==

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.

== Original document ==

The different versions of the original document can be found in:

* [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/file/VPPC2018_Postprint.pdf https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/file/VPPC2018_Postprint.pdf]

* [http://xplorestaging.ieee.org/ielx7/8603846/8604939/08604983.pdf?arnumber=8604983 http://xplorestaging.ieee.org/ielx7/8603846/8604939/08604983.pdf?arnumber=8604983],
: [http://dx.doi.org/10.1109/vppc.2018.8604983 http://dx.doi.org/10.1109/vppc.2018.8604983]

* [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635 https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635],
: [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/document https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/document],
: [https://academic.microsoft.com/#/detail/2910635287 https://academic.microsoft.com/#/detail/2910635287]

* [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635 https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635],
: [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/document https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/document],
: [https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/file/VPPC2018_Postprint.pdf https://hal-centralesupelec.archives-ouvertes.fr/hal-01900635/file/VPPC2018_Postprint.pdf]

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Ossart et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 563246253 to Ossart et al 2018a

Scipediacontent: Created page with " == Abstract == International audience; The HVAC system represents the main auxiliary load in electric vehicles (EVs) and requires efficient control approaches that balance e..."