Comprehensive multi-performance research of hydrogen-fueled Wankel rotary engine by experimental and data-driven methods

Hao Meng, Qiang Zhan, Changwei Ji, Jinxin Yang and Shuofeng Wang

Energy, 2025, vol. 319, issue C

Abstract: Hydrogen-fueled Wankel rotary engine has attracted widespread interest due to its high power and eco-friendly emissions. To further promote its development, the present work investigates the comprehensive performance of hydrogen-fueled Wankel rotary engines by experimental and data-driven methods. The main conclusions are as follows: Within the test range (1000–3000 r/min and 1.0 to 3.0 excess air ratio) qualitative control hydrogen-fueled Wankel rotary engine achieve maximum torque and brake thermal efficiency of 117.4 N m and 36.2 % at 3000 r/min, respectively. And the best brake thermal efficiency at each engine speed usually corresponds to 1.8 excess air ratio. In particular, comparing this work to previous work, hydrogen-fueled Wankel rotary engines and piston engines have different efficiency characteristics. In addition, qualitative control can effectively inhibit the NO emission and knock. NO emission can be negligible for each engine speed when excess air ratios exceed 2. In particular, based on the 3–20 kHz band-pass filter, 0.1 bar knock intensity can be considered as the knock occurrence threshold in the hydrogen-fueled Wankel rotary engine. There is a close correlation between the knock according to that threshold determination and NO emission, which can be used to simply the prediction model and facilitate the supervision of the electronic control unit. Among various Machine Learning methods, support vector machine with radial basis function kernel function has the best global prediction ability of torque, efficiency, NO emission and knock level.

Keywords: Hydrogen; Wankel rotary engine; Multi-performance; Data-driven; Prediction; Knock and NO emission (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:319:y:2025:i:c:s0360544225006139

DOI: 10.1016/j.energy.2025.134971

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