DocumentCode
1787595
Title
Power consumption characterization, modeling and estimation of electric vehicles
Author
Naehyuck Chang ; Donkyu Baek ; Jeongmin Hong
Author_Institution
Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
fYear
2014
fDate
2-6 Nov. 2014
Firstpage
175
Lastpage
182
Abstract
Rapid electric vehicle (EV) penetration gives a threatening challenge in electric energy generation. An 1,814 kg curb weight full electric vehicle driving 18,129 km/year consumes electricity energy equivalent to 74% of the total residential electricity use per person in the US. This implies that 27% more nationwide electricity generation is needed when 70% of passenger vehicles are replaced with EVs. This paper is the first step toward systematic EV design-time and runtime optimization. We introduce instantaneous power consumption modeling of an EV by the curb weights, speed, acceleration, road slope, passenger and cargo weights, motor capacity, and so on, as a battery discharge model. The model also considers the onboard charger, regenerative braking and so on, as a battery charge model. To insure model fidelity, we fabricate a lightweight custom EV, perform extensive measurement, and derive model coefficients using multivariable regression analysis. We estimate the EV instantaneous power consumption of a given speed and route profiles and verify the estimation fidelity with a real test run data.
Keywords
battery powered vehicles; optimisation; power consumption; regenerative braking; regression analysis; road vehicles; secondary cells; EV passenger; battery charge model; battery discharge model; electric energy generation; electric vehicle driving; electric vehicle penetration; instantaneous power consumption model; multivariable regression analysis; onboard charger; regenerative braking; residential electricity; runtime optimization; systematic EV instantaneous power consumption; Batteries; Electricity; Petroleum; Power demand; Power generation; Traction motors; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Aided Design (ICCAD), 2014 IEEE/ACM International Conference on
Conference_Location
San Jose, CA
Type
conf
DOI
10.1109/ICCAD.2014.7001349
Filename
7001349
Link To Document