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	Smart reference evapotranspiration using Internet of Things and hybrid ensemble machine learning approach	Bashir, Rab Nawaz; Saeed, Mahlaqa; Al-Sarem, Mohammed; Marie, Rashiq; Faheem, Muhammad; Karrar, Abdelrahman Elsharif; Elhussein, Bahaeldein
2023	Wireless Antenna Sensors for Biosimilar Monitoring Towards Cyber-Physical Systems: A Review of Current Trends and Future Prospects	Haq, Muhammad Aziz Ul; Rehman, Shafiq ur; Alhulayyil, Hisham Abdulrahman; Alzahrani, Taher Abdullah; AlSagri, Hatoon S.; Faheem, Muhammad
2023	Real-time predictive model for reactivity controlled compression ignition marine engines	Storm, Xiaoguo; Vasudev, Aneesh; Shamekhi, Amir-Mohammad; Modabberian, Amin; Zenger, Kai; Hyvönen, Jari; Mikulski, Maciej
2023	High-Precision Identification of Power Quality Disturbances Based on Discrete Orthogonal S-Transforms and Compressed Neural Network Methods	Abubakar, Muhammad; Nagra, Arfan Ali; Faheem, Muhammad; Mudassar, Muhammad; Sohail, Muhammad
2023	Using machine learning ensemble method for detection of energy theft in smart meters	Kawoosa, Asif Iqbal; Prashar, Deepak; Faheem, Muhammad; Jha, Nishant; Khan, Arfat Ahmad
2023	B20 Fuel Compatibility with Steels in Case of Fuel Contamination	Sirviö, Katriina; Kaivosoja, Jonna; Nuortila, Carolin; Wang-Alho, Huaying; Niemi, Seppo; Ovaska, Teemu
2023	An evaluation of renewable fuels´ potential to reduce global and local emissions in non-road and heavy-duty on-road sectors	Spoof-Tuomi, Kirsi
2023	Study on wear resistance of nickel cladding layer with imitation shell convex strip structure on the surface of 7075 aluminum alloy drill pipe	Zhao, Yan; Liao, Guorui; Li, Xu; Gao, Ke; Zhang, Congshan; Lü, Xiaoshu; Ai, Hongxin; Xie, Xiaobo
2023	An analytical approach to converting vibration signal to combustion characteristics of homogeneous charge compression ignition engines	Hunicz, Jacek; Gęca, Michał S.; Ratajczyk, Elżbieta; Mahmoudzadeh Andwar, Amin; Yang, Liping; Mikulski, Maciej
2023	Tyre pyrolytic oil blends in a state-of-the-art compression ignition engine: Towards fuel-optimised combustion	Hunicz, Jacek; Mikulski, Maciej; Rybak, Arkadiusz