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Int J Automot Technol
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International Journal of Automotive Technology
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Connected Automated Vehicles and ITS, Electric, Fuel Cell, and Hybrid Vehicle, Vehicle Dynamics and Control
A REVIEW OF OPTIMAL ENERGY MANAGEMENT STRATEGIES USING MACHINE LEARNING TECHNIQUES FOR HYBRID ELECTRIC VEHICLES
Changhee Song, Kiyoung Kim, Donghwan Sung, Kyunghyun Kim, Hyunjun Yang, Heeyun Lee, Gu Young Cho, Suk Won Cha
Int J Automot Technol.
2021;22(5):1437-1452. DOI:
https://doi.org/10.1007/s12239-021-0125-0
Cited By 19
Vehicle dynamics and control
MODEL-BASED INTEGRATED CONTROL OF ENGINE AND CVT TO MINIMIZE FUEL USE
Heeyun Lee, Juyean Sung, Hyeokjun Lee, Chunhua Zheng, Wonsik Lim, Suk Won Cha
Int J Automot Technol.
2018;19(4):687-694. DOI:
https://doi.org/10.1007/s12239-018-0066-4
Cited By 7
Fuel Cell, Hybrid and Electrical Vehicle
OPTIMIZATION OF POWER MANAGEMENT AMONG AN ENGINE, BATTERY AND ULTRA-CAPACITOR FOR A SERIES HEV: A DYNAMIC PROGRAMMING APPLICATION
Jongryeol Jeong, Namwook Kim, Wonsik Lim, Yeong-Il Park, Suk Won Cha, Myeong Eon Jang
Int J Automot Technol.
2017;18(5):891-900. DOI:
https://doi.org/10.1007/s12239-017-0087-4
Cited By 22
Fuel Cell, Hybrid and Electrical Vehicle
COMPARISON OF PMP AND DP IN FUEL CELL HYBRID VEHICLES
C. H. ZHENG, G. Q. XU, Yeong-il Park, Won Sik Lim, Suk Won Cha
Int J Automot Technol.
2014;15(1):117-123. DOI:
https://doi.org/10.1007/s12239-014-0013-y
Cited By 12
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Journal Impact Factor 1.6