Paper Info
Title
Design and Analysis of Battery-Aware Automotive Climate Control for Electric Vehicles.
Abstract
Electric Vehicles (EV) as a zero-emission means of transportation encounter challenges in battery design that cause a range anxieties for the drivers. Besides the electric motor, the Heating, Ventilation, and Air Conditioning (HVAC) system is another major contributor to the power consumption that may influence the EV battery lifetime and driving range. In the state-of-the-art methodologies for battery management systems, the battery performance is monitored and improved. While in the automotive climate control, the passenger’s thermal comfort is the main objective. Hence, the influence of the HVAC power on the battery behavior for the purpose of jointly optimized battery management and climate control has not been considered. In this article, we propose an automotive climate control methodology that is aware of the battery behavior and performance, while maintaining the passenger’s thermal comfort. In our methodology, battery parameters and cabin temperature are modeled and estimated, and the HVAC utilization is optimized and adjusted with respect to the electric motor and HVAC power requests. Therefore, the battery stress reduces, while the cabin temperature is maintained by predicting and optimizing the system states in the near-future. We have implemented our methodology and compared its performance to the state-of-the-art in terms of battery lifetime improvement and energy consumption reduction. We have also conducted experiments and analyses to explore multiple control window sizes, drive profiles, ambient temperatures, and modeling error rates in the methodology. It is shown that our battery-aware climate control can extend the battery lifetime by up to 13.2% and reduce the energy consumption by up to 14.4%.
Year
DOI
Venue
2018
10.1145/3203408
ACM Trans. Embedded Comput. Syst.
Keywords
Field
DocType
Electric vehicle, HVAC, battery, climate control, model predictive control, optimization, quadratic programming
Air conditioning,Automotive engineering,Computer science,Electric vehicle,HVAC,Real-time computing,Driving range,Battery (electricity),Energy consumption,Electric motor,Automotive industry
Journal
Volume
Issue
ISSN
17
4
1539-9087
Citations 
PageRank 
References 
0
0.34
26
Authors
3
Name
Order
Citations
PageRank
Korosh Vatanparvar113416.20
Mohammad Abdullah Al Faruque262765.35
FaruqueMohammad Abdullah Al300.34