A Dynamic Programming Approach for Thermal Comfort Control in Electric Vehicles
Résumé
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.
Mots clés
energy saving
climatic conditions
energetic cost
driving speed
improved comfort
optimization approach
electric vehicle model
HVAC system supervisor
vehicle driving range
HVAC system consumption
efficient control approaches
EVs
main auxiliary load
electric vehicles
thermal comfort control
dynamic programming approach
Electric Vehicle
Thermal comfort
HVAC
energy management
Dynamic Programming
Domaines
Energie électrique| Origine | Fichiers produits par l'(les) auteur(s) |
|---|
Loading...