Efficient Powertrain Solutions

About the research group

The Efficient Powertrain Solutions (EPS) research group supports the end-to-end process of powertrain development from fuel to energy and emission management while its research focuses on combustion engines.

The research group is committed to developing excellence in methods of testing, simulation and control, building on detail knowledge. The scale and application areas of the used methods make the research group internationally unique.

The research group aims to develop efficient heavy-duty transport and the energy sector with an outcome of zero or even negative emissions impact. The goal is to maximise overall powertrain energy efficiency and develop integrated powertrain control solutions. This is done by providing innovative tools for design optimisation of powertrain configurations and control strategies.

Latest updates

Dissertation 13.08.2025

Recycled lubricants and pulp by-products as solutions to emission challenges in marine and off-road engines

News 21.03.2025

EnergyWeek 2025 brought together researchers, policymakers and industry leaders in Vaasa – discussions highlighted innovative energy solutions, and collaboration between universities and companies

News 13.02.2025

Research and Competence Center for Engine Technology in Vaasa

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Research projects

Latest publications

Former Renewable Energy research group's publications

Formerly, the Efficient Powertrain Solutions (EPS) research group was part of the Renewable Energy research group.

Publication year	Publication	Authors
2023	The air temperature change effect on water quality in the Kvarken Archipelago area	Girgibo, Nebiyu; Lü, Xiaoshu; Hiltunen, Erkki; Peura, Pekka; Dai, Zhenxue
2023	Numerical simulation of heat recovery from asphalt pavement in Finnish climate conditions	Songok, Joel; Mäkiranta, Anne; Rapantova, Nada; Pospisil, Pavel; Martinkauppi, Birgitta
2023	Renewable energy resources and multi-energy hybrid systems for urban buildings in Nordic climate	Lü, Xiaoshu; Lu, Tao; Karirinne, Suvi; Mäkiranta, Anne; Clements-Croome, Derek
2022	救援钻孔用双钻头扭矩自平衡钻进系统理论与实验 Theory and experiment of the dual-bit torque self-balancing drilling system for rescue drilling	Gao, Ke; Zhang, Cong; Zhao, Yan; Li, Xu; Wen, Yumin; Lyu, Xiaoshu; Xie, Xiaobo
2022	The potential of using groundwater as a heating/cooling energy source in the Vaasa city region of Finland	Girgibo, Nebiyu; Lu, Xiaoshu; Yao, Zhitong
2022	Towards Next Generation Control-Oriented Thermo-Kinetic Model for Reactivity Controlled Compression Ignition Marine Engines	Vasudev, Aneesh; Cafari, Alberto; Axelsson, Martin; Mikulski, Maciej; Hyvonen, Jari
2022	Numerical Study on Hydrogen–Gasoline Dual-Fuel Spark Ignition Engine	Aghahasani, Mahdi; Gharehghani, Ayat; Mahmoudzadeh Andwari, Amin; Mikulski, Maciej; Pesyridis, Apostolos; Megaritis, Thanos; Könnö, Juho
2022	Low-power Renewable Possibilities for Geothermal IoT Monitoring Systems	Byrtus, Radek; Hercik, Radim; Dohnal, Jakub; Martinkauppi, J. Birgitta; Rauta, Tuomas; Koziorek, Jiri
2022	An Urban Traffic Flow Fusion Network Based on a Causal Spatiotemporal Graph Convolution Network	Xu, Xing; Mao, Hao; Zhao, Yun; Lü, Xiaoshu
2022	A Neural Network Approach for Reconstructing In-Cylinder Pressure from Engine Vibration Data	Khac Nguyen, Hoang; Modabberian, Amin; Zenger, Kai; Lendormy, Éric; Mikulski, Maciej; Hunicz, Jacek