Electric Vehicle Architecture Design Based on Database
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Kwon-Hee Suh 1, Moon JinGyu 2 |
1KIA Corporation 2Institute of Vehicle Engineering |
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ABSTRACT |
The purpose of this study is to extend the mileage by improving the effi ciency of the electric vehicle (EV) driving and thermal
management system (TMS). The powertrain system and the TMS must be considered simultaneously from the architecture
stage as complementary systems to maintain the driving performance of the EV. This paper proposes an EV architectural
design method and a multi-physical EV modeling technique. The main components of the EV are standardized diff erently
from those of the internal combustion engine (ICE) vehicle, and the TMS is designed by thermal system confi guration.
Therefore, instead of the traditional continuous variable-based design methodology, optimal combination design based on the
component database (DB) and the confi guration plot presents the combinational design method. The performance of an EV
varies depending on the performance of driving components and TMS, and weather. This paper presents a Modelica-based
vehicle modeling technique to integrate multiple physical phenomena. Finally, we implemented an automated design using
the optimal combination design method and the multi-physical integrated vehicle model design framework. The design of the
C-segment EV was carried out to review the validity of the proposed method. 2880 laboratories were planned and designed
using design variables with 10 levels of mixing. As a result of the design, we have confi rmed that the mileage increases by
5% compared to the previous one in NEDC mode. |
Key Words:
Electric vehicle · Electrifi ed powertrain · Thermal management system
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