Article
DOI : https://doi.org/10.1007/s12239-024-00035-5
International Journal of Automotive Technology. 2024; 25(2): 427-444.
doi: https://doi.org/10.1007/s12239-024-00035-5
Electric Vehicle Architecture Design Based on Database
Kwon-Hee Suh 1, and Moon JinGyu 2
1KIA Corporation
2Institute of Vehicle Engineering
Corresponding Author: Email: jkmoon@ivh.co.kr
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.
Keywords : Electric vehicle · Electrifi ed powertrain · Thermal management system