Spark Timing Optimization
Spark Timing Optimization is a methodological framework in internal combustion engine research that systematically determines the optimal ignition timing to maximize thermal efficiency and minimize emissions by balancing the trade-offs between combustion pressure development, heat losses, and knock propensity.
64
Publications
3K
Citations
223
Authors
79
Institutions
Publications per year
2017–2026
28
Parents
64
Effect of spark timing and load on a DISI engine fuelled with 2,5-dimethylfuran
Ritchie Daniel, Guohong Tian, Hongming Xu et al. · Fuel · 2010 · 181 citations
Engineering, Automotive Engineering, Mechanical Engineering +13
Changming Gong, Zhaohui Li, Yi Lin et al. · Fuel · 2019 · 164 citations
Engineering, Automotive Engineering, Mechanical Engineering +16
Xiongbo Duan, Yangyang Li, Jingping Liu et al. · Energy · 2018 · 125 citations
Engineering, Automotive Engineering, Mechanical Engineering +17
1–5 of 64
223
6
h-index
6
h-index
King Abdullah University of Science and Technology, Saudi Arabia
3 publications · 241 citations
3
h-index
3
h-index
2
h-index
1–5 of 223
79

Beijing University of Technology
Beijing, China
6 h-index
27 publications
1.8K citations
University of Michigan
Ann Arbor, United States
4 h-index
13 publications
799 citations

Dalian Minzu University
Dalian, China
3 h-index
7 publications
646 citations

Hunan University
Changsha, China
3 h-index
15 publications
1.5K citations
State Key Laboratory of Automotive Simulation and Control
Changchun, China
2 h-index
3 publications
236 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
4 publications
440 citations
China Automotive Engineering Research Institute
Chongqing, China
2 h-index
2 publications
88 citations
Stony Brook University
Stony Brook, United States
2 h-index
3 publications
258 citations
1–8 of 79
13 publications · 829 citations
13
h-index
9 publications · 210 citations
9
h-index
8 publications · 407 citations
8
h-index
4 publications · 272 citations
4
h-index
4 publications · 222 citations
4
h-index
1–5