TY - JOUR
T1 - Towards clean, efficient, and stable operation
T2 - experimental evaluation and multi-objective optimization of a turbocharged hydrogen engine
AU - Li, Qian
AU - Zhang, Cai zhi
AU - Deng, Wei
AU - Sun, Bai gang
AU - Bao, Ling zhi
AU - Luo, Qing he
N1 - Publisher Copyright:
© 2025 Elsevier Ltd.
PY - 2025/11
Y1 - 2025/11
N2 - Hydrogen is a promising sustainable and zero-carbon fuel for internal combustion engines. This study investigates the clean efficient and stable hydrogen engine based on four important metrics of brake thermal efficiency (BTE), NO x emissions, coefficient of variation of IMEP (CoVIMEP), and ringing intensity (RI). Experiments are conducted in a 1.5 L variable geometry turbocharged direct-injection hydrogen engine under typical range-extender conditions (2500 rpm, 30 kW), with seven control parameters varied by a multi-factor design. Statistical analysis and correlation are used to extract relationships from nonlinear trends. A peak BTE of 40.62 % is obtained at excess air fuel ratio 1.89 with split injection, but NO x exceeds 15 g/kW·h. An NH3–SCR after-treatment system is applied. NO x conversion exceeds 99 % across a wide range, reducing post-SCR NO x to < 0.1 g/kW·h. This significantly shifts the multi-objective balance: entropy weight–TOPSIS analysis shows the influence of NO x in the score calculation drops from 42.8 % to 28.4 %. The optimal configuration achieves BTE > 39 %, CoVIMEP < 1.3 %, RI < 1.5 MW/m2, and fully compliant NO x emissions. These findings quantify metric and demonstrate a practical optimization framework that combines in-cylinder control with aftertreatment to support clean, efficient, and stable hydrogen engine operation.
AB - Hydrogen is a promising sustainable and zero-carbon fuel for internal combustion engines. This study investigates the clean efficient and stable hydrogen engine based on four important metrics of brake thermal efficiency (BTE), NO x emissions, coefficient of variation of IMEP (CoVIMEP), and ringing intensity (RI). Experiments are conducted in a 1.5 L variable geometry turbocharged direct-injection hydrogen engine under typical range-extender conditions (2500 rpm, 30 kW), with seven control parameters varied by a multi-factor design. Statistical analysis and correlation are used to extract relationships from nonlinear trends. A peak BTE of 40.62 % is obtained at excess air fuel ratio 1.89 with split injection, but NO x exceeds 15 g/kW·h. An NH3–SCR after-treatment system is applied. NO x conversion exceeds 99 % across a wide range, reducing post-SCR NO x to < 0.1 g/kW·h. This significantly shifts the multi-objective balance: entropy weight–TOPSIS analysis shows the influence of NO x in the score calculation drops from 42.8 % to 28.4 %. The optimal configuration achieves BTE > 39 %, CoVIMEP < 1.3 %, RI < 1.5 MW/m2, and fully compliant NO x emissions. These findings quantify metric and demonstrate a practical optimization framework that combines in-cylinder control with aftertreatment to support clean, efficient, and stable hydrogen engine operation.
KW - Hydrogen internal combustion engine
KW - Multi-objective optimization
KW - NO emissions
KW - Ring intensity
UR - https://www.scopus.com/pages/publications/105022185044
U2 - 10.1016/j.seta.2025.104670
DO - 10.1016/j.seta.2025.104670
M3 - Article
AN - SCOPUS:105022185044
SN - 2213-1388
VL - 83
JO - Sustainable Energy Technologies and Assessments
JF - Sustainable Energy Technologies and Assessments
M1 - 104670
ER -