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http://dx.doi.org/10.14372/IEMEK.2022.17.2.85

Battery Response Characteristics According to System Modeling and Driving Environment of Electric Vehicles  

Chu, Yong-Ju (Shinhan University)
Park, Jun-Young (Sognag University)
Park, Gwang-Min (Korea Automotive Technology Institute)
Lee, Seung-Yop (Sognag Universit., Bluefocus Co. Ltd.)
Publication Information
IEMEK Journal of Embedded Systems and Applications / v.17, no.2, 2022 , pp. 85-92 More about this Journal
Abstract
Currently, various researches on electric vehicle battery systems have been conducted from the viewpoint of safety and performance for SoC, SoH, etc. However, it is difficult to build a precise electrical model of a battery system based on the chemical reaction and SoC prediction. Experimental measurements and predictions of the battery SoC were usually performed using dynamometers. In this paper, we construct a simulation model of an electric vehicle system using Matlab Simulink, and confirm the response characteristics based on the vehicle test driving profiles. In addition, we show that it is possible to derive the correlation between the SoC, voltage, and current of the battery according to the driving time of the electric vehicle in conjunction with the BMS model.
Keywords
Electric Vehicle; Battery; Battery Management System (BMS); Driving Profile;
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Times Cited By KSCI : 2  (Citation Analysis)
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