관련 연구:

1. Kim, Dongmin, and Kitae Jang. "Component-level analysis for developing an energy consumption model for battery electric vehicles (BEVs) in operation." eTransportation (2025): 100472.

2. Kim, Dongmin, et al. "Auxiliary energy consumption of electric vehicles: Modeling and prediction using real-world vehicle data." Applied Energy 401 (2025): 126766. 

관련 연구

1.  Kim, D., Lee, Y., and Jang, K., Vehicle-Level Modeling of Internal Resistance Degradation and Influential Parameter Analysis in Lithium-Ion Battery Packs Using Real-World Data, Under editing

2. Kim, D., Oh, S., Ko, E., and Shim, J., Driving and Environmental Factors Affecting Lithium-Ion Battery Capacity Degradation in Micro Battery Electric Vehicles, Submitted to eTransportation., Under 1st Review

3. Kim, Dongmin et al. "Development of a Battery-in-the-Loop-Based Simulator for Testing Electric Autonomous Vehicles." 한국자동차공학회 춘계학술대회, 2025, 1468-1468.

4. 김동민, 장기태, and 이윤구. "차량 주행 환경을 반영하기 위한 배터리 인 더 루프 시스템 기반의 배터리 성능 테스트 시뮬레이터 개발." 대한기계학회 춘추학술대회 (2025): 214-215. 

관련 특허

1. 김동민, 이윤구, and 장기태. "전기차 실제 환경 주행 성능 시뮬레이팅 시스템 및 그 동작 방법.", Korean Patent No. 10-2025-0138080 (출원)

2. 김동민, and 장기태. "배터리 실 충전 데이터에 기반한 배터리 관리 장치 및 방법.", Korean Patent No. 10-2023-0168297  (등록)

3. 김동민, 장기태, and 이환필. "충전대기시간 안내시스템.", Korean Patent No. 10-2024-0030858  (출원)

관련 연구:

1. Kim, D., and Yoon, J. Macroscopic Driving Efficiency of Electric Vehicle Fleets: A Comparative Analysis under Interrupted and Uninterrupted Traffic Flows, Submitted to IEEE Transactions on Intelligent Transportation Systems., Under 1st Review 

2. Kim, Dongmin, Hwanpil Lee, and Jooyoung Lee. "Unsupervised Learning Approach for Risky Driving Behavior Identification on Expressways in C-ITS Environments." IEEE Transactions on Intelligent Transportation Systems (2025). 

3. 김동민, 이환필, and 이주영. "C-ITS 기반 PVD 를 활용한 화물차량의 고속도로 주행 시 전방충돌경보 상황에 대한 특성 분석." 한국도로학회논문집 25.6 (2023): 317-326. 

4. Dongmin, Kim, Ng HuiZhi, and Jang Kitae. "The Analysis of Traffic Variables for EV's Driving Efficiency in Urban Traffic Condition." 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2022. 

5. Kim, Dong Min, and Jisup Shim. "An Estimation Methodology of Empirical Flow-density Diagram Using Vision Sensor-based Probe Vehicles' Time Headway Data." The Journal of The Korea Institute of Intelligent Transport Systems 21.2 (2022): 17-32. 

Education

B.S.: School of Electrical and Electronics Engineering, Chung-Ang University, Seoul, Republic of Korea (2012.03 ~ 2018.02)

M.S.: Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, (Advisor: Prof. Kitae Jang) (2019.03 ~ 2021.02)

Ph. D.: Cho Chun Shik Graduate School of Mobility, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, (Advisor: Prof. Kitae Jang) (2021.03 ~ 2025.02)

Post-doctoral Researcher: Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, (PI: Prof. Yoon Koo Lee, Now) (2025.03 ~ )

Post-doctoral Researcher: KAIST InnoCORE Platform for Real-world Innovation in Smart Manufacturing and AI, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, (PI: Prof. Seunghwa Ryu, Now) (2025.03 ~ )

Research Activity