Drivability Optimization
Drivability Optimization is a systematic methodology within internal combustion engine integration that enhances vehicle performance and responsiveness by refining engine control strategies to ensure smooth, predictable, and consistent power delivery under diverse operating conditions.
31
Publications
1K
Citations
125
Authors
53
Institutions
Publications per year
2017–2026
8
31
Koutarou Miyazaki, Seiya Abe, Masanori Tsukuda et al. · IEEE Transactions on Industry Applications · 2017 · 118 citations
Engineering, Computer Engineering, Electrical Engineering +17
Weitao Cheng, Akinobu Teramoto, Masaki Hirayama et al. · Japanese Journal of Applied Physics · 2006 · 49 citations
1–5 of 31
125
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1–5 of 125
53
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
129 citations
The Ohio State University
Columbus, United States
3 h-index
8 publications
214 citations
Tokyo Metropolitan University
Tokyo, Japan
2 h-index
2 publications
146 citations
Kyushu Institute of Technology
Kitakyushu, Japan
2 h-index
6 publications
438 citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
438 citations
IFP Énergies nouvelles
Rueil-Malmaison, France
1 h-index
2 publications
32 citations
General Motors (United States)
Detroit, United States
1 h-index
1 publications
62 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
48 citations
1–8 of 53
3 publications · 49 citations
3
h-index
2 publications · 73 citations
2
h-index
1 publications · 48 citations
1
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JCSC · 1 publications · 25 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5