Reduction in Chassis Dynamometer Test Time for Evaluating Energy Economy and Range of Light-Duty Battery Electric Vehicles|RISS 상세보기

다국어 초록 (Multilingual Abstract)

In response to the climate crisis, nations are working to reduce emissions and improve energy effi ciency, particularly in the transportation sector through the adoption of electric vehicles. However, the current offi cial test methods for evaluating battery electric vehicle (BEV) energy economy and single-charge driving range are time-consuming, creating challenges for testing institutions and delaying the release of new models. The objective of this study is to compare the energy economy and single-charge driving range of BEVs using the diff erent test methods, the full depleting test (e.g., multi cycle test (MCT), short multi cycle test, short multi cycle test plus) and partial depleting test (e.g., short process test (SPT)), with the aim of reducing the testing time on the chassis dynamometer. As a result of testing with three BEVs with diff erent battery capacities, the test duration on the chassis dynamometer could be reduced by up to 85% compared to the MCT that is authorized test method by government. Each test has diff erent repeatability, and SPT has a higher deviation from the MCT test results than other test methods. Overall, the study can provide reliable research outcomes conducive to the future improvement of offi cial energy economy and single-charge driving range test standards for BEVs in each country.

번역하기

참고문헌 (Reference)

1 Environmental Protection Agency, "Urban dynamometer driving schedule"

2 노경하 ; 임재혁 ; 김성우 ; 김기호 ; 하종한 ; 오상기, "The impact study on fuel economy of electric vehicle according to the test mode characteristics" 19 (19): 39-46, 2015

3 Zhang, H., "On-line measurement of internal resistance of lithium ion battery for EV and its application research. International Journal of u- and e-Service" 7 (7): 301-310, 2014

4 Ministry of Trade Industry and Energy Notice, "Notice on methods of testing energy consumption effi ciency, greenhouse gas emissions and fuel consumption rate of vehicles" 2022

5 Park, J., "Mobility Insight" Korea Automotive Technology Institute 2022

6 "ISO 13528. Statistical methods for use in proficiency testing by interlaboratory comparison"

7 Environmental Protection Agency, "Highway fuel economy test driving schedule"

8 UNECE Global Registry, "Global Nations Global Technical Regulation on Worldwide harmonized Light vehicles Test Procedures"

9 김명옥 ; 정인영 ; 이혜리 ; 김금희 ; 최성헌 ; 이두희 ; 이원석 ; 최종우 ; 권오상, "Evaluation criteria for proficiency testing in environmental samples of water, drinking water, waste and soil field" 18 (18): 59-66, 2015

10 송진근 ; 차준표 ; 최민기, "Energy efficiency prediction model of heavy-duty electric vehicles using numerical simulation" 23 (23): 1529-1536, 2022