Abstract
The range of Electric Vehicles is highly influenced by the electric power consumed by auxiliaries, a huge part of this power being used for cabin heat-up and cool-down operations in order to ensure an acceptable level of thermal comfort for the passengers. Driving range decreases with low temperatures in particular because cabin heating system requires an important amount of electric power. Range also decreases with high ambient temperatures because of the air conditioning system with electrically-driven compressor. At the same time, batteries and electric motors operates at their maximal efficiency in a certain range of temperature. The reduced EV driving range under real life operating cycles, which can be a barrier against market penetration, is an issue for further development in the future towards sophisticated cabin heating and cooling systems, as well as battery warmer. The aim of this paper is to highlight the benefits of a system simulation approach, based on LMS Imagine.Lab AMESim, in order to estimate the impact of various technologies of cabin heating and cooling on both the cabin temperature and the driving range. In this paper, a battery electric vehicle including a cabin heating with PTC device and a R134a refrigerant loop is simulated under various ambient temperatures on a given driving cycle with the same required cabin temperature target. Simulation outputs include the cabin temperature evolution, the battery state of charge and as a consequence the driving range.
Highlights
The aim of this paper is to highlight the benefits of a system simulation approach in order to estimate the impact of the ambient temperature on the energy consumed on a driving cycle, this energy consumption being variable with time due to cabin cooling or heating and due to losses in the battery and the electric machine
LMS Imagine.Lab AMESim sketch in Figure 1 below shows the EV different subsystems representation. Each of these subsystems needs to be modelled with an appropriate level of details, so as to obtain a numerical model which is sensitive to the operating conditions and to give the output of interest: energy consumption, vehicle performance, and temperature in the cabin
The numerical model presented in this paper allows estimating the energy consumption of an Electrical Vehicle, as well as the cabin temperature
Summary
The aim of this paper is to highlight the benefits of a system simulation approach in order to estimate the impact of the ambient temperature on the energy consumed on a driving cycle, this energy consumption being variable with time due to cabin cooling or heating and due to losses in the battery and the electric machine. The vehicle considered is a battery electrical vehicle including both a cabin heating with PTC device and a R134a refrigerant loop. The vehicle follows a SFTP-US06 driving cycle under various ambient temperatures with cabin temperature request of 20°C
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
