Multi-objective optimization of a hydrogen-fueled Wankel rotary engine based on machine learning and genetic algorithm

被引:88
作者
Wang, Huaiyu [1 ,5 ]
Ji, Changwei [2 ,3 ,5 ]
Shi, Cheng [4 ]
Yang, Jinxin [2 ,3 ]
Wang, Shuofeng [2 ,3 ]
Ge, Yunshan [1 ,5 ]
Chang, Ke [2 ,3 ]
Meng, Hao [2 ,3 ]
Wang, Xin [1 ]
机构
[1] Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China
[2] Beijing Univ Technol, Coll Energy & Power Engn, Beijing Lab New Energy Vehicles, Beijing 100124, Peoples R China
[3] Beijing Univ Technol, Key Lab Reg Air Pollut Control, Beijing 100124, Peoples R China
[4] Yanshan Univ, Sch Vehicle & Energy, Qinhuangdao 066004, Peoples R China
[5] Collaborat Innovat Ctr Elect Vehicles Beijing, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydrogen -fueled Wankel rotary engine; Performance and emissions; Intake and exhaust phases; Machine learning and genetic algorithm; PERFORMANCE;
D O I
10.1016/j.energy.2022.125961
中图分类号
O414.1 [热力学];
学科分类号
摘要
Hydrogen is a promising way to achieve high efficiency and low emissions for Wankel rotary engines. In this paper, the intake and exhaust phases and excess air ratios (lambda) were optimized using machine learning (ML) and genetic algorithm (GA). Firstly, a one-dimensional model was built and verified under various lambda. Secondly, the variables were determined using sensitivity analysis method, and the sample for training models was generated using the Latin hypercube sampling. Finally, a prediction model for performance and emissions was built using ML and combined with GA for multi-objective optimization. The results show that the timing of intake port full closing (IPFC) and exhaust port start opening (EPSO) exhibits the most significant influence on performance and emissions, while the other phases are less influential. Both indicated mean effective pressure (IMEP) and indi-cated specific nitrogen oxides (ISNOx) increase as the IPFC timing is advanced, while indicated specific fuel consumption (ISFC) decreases as EPSO timing is delayed. Compared with the original engine, the optimized IMEP is improved by 0.18%, ISFC is reduced by 2.39%, and ISNOx is reduced by up to 65.43%. It is an efficient way to use ML combined with GA to improve performance and reduce emissions simultaneously.
引用
收藏
页数:12
相关论文
共 58 条
[1]  
Boretti A, 2015, SAE Technical Paper 2015-26-0031
[2]   Stratified combustion characteristics analysis and assisted-ignition strategy optimization in a natural gas blended diesel Wankel engine [J].
Chen, Wei ;
Pan, Jianfeng ;
Yang, Wenming ;
Liu, Yangxian ;
Fan, Baowei ;
Lu, Yao ;
Otchere, Peter .
FUEL, 2021, 292
[3]   Prediction of hydrogen-added combustion process in T-GDI engine using artificial neural network [J].
Cho, Jungkeun ;
Song, Soonho .
APPLIED THERMAL ENGINEERING, 2020, 181
[4]   Evaluation of heat release and combustion analysis in spark ignition Wankel and reciprocating engine [J].
Cihan, Omer ;
Dogan, Huseyin Emre ;
Kutlar, Osman Akin ;
Demirci, Abdurrahman ;
Javadzadehkalkhoran, Majid .
FUEL, 2020, 261
[5]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[6]   An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints [J].
Deb, Kalyanmoy ;
Jain, Himanshu .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2014, 18 (04) :577-601
[7]  
Deng X, 2021, Trans. Chin. Soc. Agric. Eng. (Trans. CSAE), V37, P114, DOI [10.11975/j.issn.1002- 6819.2021.04.014, DOI 10.11975/J.ISSN.1002-6819.2021.4.014]
[8]   Parallel perturbation analysis of combustion cycle-to-cycle variations and emissions characteristics in a natural gas spark ignition engine with comparison to consecutive cycle method [J].
Duan, Xiongbo ;
Xu, Linxun ;
Jiang, Pengfei ;
Lai, Ming-Chia ;
Sun, Zhiqiang .
CHEMOSPHERE, 2022, 308
[9]   Experimental and numerical investigation of the effects of low-pressure, high-pressure and internal EGR configurations on the performance, combustion and emission characteristics in a hydrogen-enriched heavy-duty lean-burn natural gas SI engine [J].
Duan, Xiongbo ;
Liu, Yiqun ;
Liu, Jingping ;
Lai, Ming-Chia ;
Jansons, Marcis ;
Guo, Genmiao ;
Zhang, Shiheng ;
Tang, Qijun .
ENERGY CONVERSION AND MANAGEMENT, 2019, 195 :1319-1333
[10]   Numerical study of injection strategy on the combustion process in a peripheral ported rotary engine fueled with natural gas/hydrogen blends under the action of apex seal leakage [J].
Fan, Baowei ;
Zeng, Yonghao ;
Pan, Jianfeng ;
Fang, Jia ;
Salami, Hammed Adeniyi ;
Wang, Yuanguang .
ENERGY, 2022, 242