Masayuki Kobayashi
Research Subjects
Research Interests
Masayuki Kobayashi has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Shigeru Ueki
Organization for the Promotion of Low Emission Vehicles, Tokyo 160-0004, Japan
2 shared publications - Takehito Imai
Organization for the Promotion of Low Emission Vehicles, Tokyo 160-0004, Japan
2 shared publications - Wei-Hsiang Yang
Faculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan
2 shared publications - Yiyuan Fang
Waseda University
2 shared publications - Yushi Kamiya
Faculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan
2 shared publications
Latest Publications
- Open Access
- 4 January 2024
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 15 (1) , 16
Speed Change Pattern Optimization for Improving the Electricity Consumption of an Electric Bus and Its Verification Using an Actual Vehicle
In this study, we focused on the eco-driving of electric vehicles (EVs). The target vehicle is an electric bus developed by our research team. Using the parameters of the bus and speed pattern optimization algorithm, we derived the EV’s eco-driving speed pattern. Compared to the eco-driving of internal combustion engine vehicles (ICVs), we found several different characteristics. We verified these characteristics with actual vehicle driving test data of the target bus, and the results confirmed its rationality. The EV’s eco-driving method can improve electricity consumption by about 10–20% under the same average speed.
- 4 January 2024
- Published by MDPI AG in World Electric Vehicle Journal
- Vol. 15 (1) , 16
Open AccessSpeed Change Pattern Optimization for Improving the Electricity Consumption of an Electric Bus and Its Verification Using an Actual Vehicle
In this study, we focused on the eco-driving of electric vehicles (EVs). The target vehicle is an electric bus developed by our research team. Using the parameters of the bus and speed pattern optimization algorithm, we derived the EV’s eco-driving speed pattern. Compared to the eco-driving of internal combustion engine vehicles (ICVs), we found several different characteristics. We verified these characteristics with actual vehicle driving test data of the target bus, and the results confirmed its rationality. The EV’s eco-driving method can improve electricity consumption by about 10–20% under the same average speed.
- Open Access
- 4 December 2023
- Published by MDPI AG in Preprints.org
Speed Change Pattern Optimization for Improving Electricity Consumption of Electric Bus and Its Verification by Actual Vehicle
In this study, we focused on the eco-driving of electric vehicles (EVs). The target vehicle is an electric bus developed by our research team. Using the parameters of the bus and speed pattern optimization algorithm, we derived the EV eco-driving speed pattern. Compared to eco-driving of internal combustion engine vehicles (ICVs), we found several different characteristics. We verified these characteristics with actual vehicle driving test data of the target bus, and the results confirmed its rationality. The EV eco-driving method can improve electricity consumption by about 10% - 20% under the same average speed.
- 4 December 2023
- Published by MDPI AG in Preprints.org
Open AccessSpeed Change Pattern Optimization for Improving Electricity Consumption of Electric Bus and Its Verification by Actual Vehicle
In this study, we focused on the eco-driving of electric vehicles (EVs). The target vehicle is an electric bus developed by our research team. Using the parameters of the bus and speed pattern optimization algorithm, we derived the EV eco-driving speed pattern. Compared to eco-driving of internal combustion engine vehicles (ICVs), we found several different characteristics. We verified these characteristics with actual vehicle driving test data of the target bus, and the results confirmed its rationality. The EV eco-driving method can improve electricity consumption by about 10% - 20% under the same average speed.