Dr. Merve Tekin

Assistant Professor, Automotive Engineering

Merve Tekin is an Assistant Professor in Automotive Engineering at Bursa Uludağ University, Türkiye. She received her PhD in Automotive Engineering in 2024, with a focus on battery state of charge estimation for different battery chemistries.

Her research centers on Battery Management Systems (BMS), particularly high-accuracy state estimation methods such as State of Charge (SoC) and State of Health (SoH), along with thermal management and safety-critical phenomena including lithium plating.

She also works on hydrogen fuel cells, internal combustion engines, and energy consumption modeling for electrified vehicles, aiming to improve overall powertrain efficiency.

Academic Positions

Assistant Professor (2026 - Ongoing) Bursa Uludağ University, Faculty of Engineering, Automotive Engineering

Research Assistant (2018 - 2026) Bursa Uludağ University, Faculty of Engineering, Automotive Engineering

Education

PhD in Automotive Engineering Battery State of Charge Estimation for Different Battery Chemistries Bursa Uludağ University (2019-2024)

Master's in Automotive Engineering Calculation and Comparison of Fuel Consumption Values of a Conventional Vehicle and a Fuel Cell Vehicle Based on Driving Cycles Bursa Uludağ University (2017-2019)

Bachelor's (Double Major) Automotive Engineering & Mechanical Engineering Bursa Uludağ University (2013-2017)

Selected Publications

Comparative analysis of optimum thermal management systems for battery modules comprising 32700 and 18650 LFP cells at equivalent power capacity level Energy, vol. 339. https://doi.org/10.1016/j.energy.2025.139084 Dönmez M., Tekin M., Karamangil M. İ. (2025) This study compares immersion-cooled battery modules built with 18650 and 32700 LFP cells at equivalent power capacity using multi-objective optimization. Results show both designs significantly reduce pressure drop (≈85–88%) with only minor increases in temperature, while maintaining effective thermal performance. The 18650 module offers better heat management, whereas the 32700 module achieves lower pressure losses and a more compact design. Overall, the work highlights how cell format and optimization strategy impact thermal behavior and flow efficiency in battery systems.

A Comprehensive Review of Mechanism, Detection Methods and Prevention for Lithium Plating on Anodes in Lithium-Ion Batteries Journal of the Electrochemical Society, vol. 172, no. 10. https://doi.org/10.1149/1945-7111/ae0fea Yenigun M., Karamangil M. İ., Tekin M. (2025) This review examines lithium plating in lithium-ion batteries, a key degradation and safety concern under fast charging and low-temperature conditions. It outlines the underlying mechanisms, influencing factors, and associated risks such as dendrite formation, short circuits, and capacity loss. Various detection methods are critically compared, including electrochemical, imaging, and model-based approaches, highlighting their strengths and limitations. The study also discusses emerging solutions like hybrid diagnostics and machine learning, and identifies future directions for reliable real-time detection in battery management systems.

Artificial Neural Network Predictions for Temperature: Utilizing Numerical Analysis in Immersion Cooling Systems Using Mineral Oil and an Engineered Fluid for 32700 LiFePO4 International Journal of Thermal Sciences, vol. 211. https://doi.org/10.1016/j.ijthermalsci.2025.109742 Donmez M., Tekin M., Karamangil M. İ. (2025) This study investigates immersion cooling of 32700 LiFePO₄ battery cells using mineral oil and an engineered fluid under varying flow rates and discharge conditions. Numerical results show effective temperature control and uniformity, with temperature rise remaining within safe limits even at high C-rates. An artificial neural network (ANN) model is developed to predict cell temperature, achieving high accuracy with errors below 1 K. The findings highlight the importance of coolant selection and flow rate, and demonstrate the potential of ANN for reliable thermal prediction in battery systems.

Comparative analysis of equivalent circuit battery models for electric vehicle battery management systems Journal of Energy Storage, vol. 86. https://doi.org/10.1016/j.est.2024.111327 Tekin M., Karamangil M. İ. (2024) This study compares widely used equivalent circuit battery models (Rint, PNGV, Thevenin, and Dual Polarization) for application in electric vehicle battery management systems. Using experimental data from multiple test profiles, the models are evaluated for their ability to capture both static and dynamic voltage behavior. Results show that the Dual Polarization model provides the highest accuracy across all conditions, particularly under dynamic loads. The findings emphasize the importance of model selection for improving BMS performance, energy efficiency, and battery lifetime.

Experimental analysis of the volumetric and thermal efficiency performance of a novel direct piezo-acting CVVT mechanism International Journal of Green Energy, 21(5), 948–958. https://doi.org/10.1080/15435075.2023.2226265 Sürmen A., Karamangil M. I., Avcı A., Dirim B., Işıklı F., Tekin M.,Türköz, N. (2024) This study experimentally evaluates a novel direct piezo-actuated continuously variable valve timing (CVVT) mechanism to optimize engine volumetric efficiency. Tests across multiple valve timings and engine speeds show improvements of 11.5% to 19.4% in volumetric efficiency compared to baseline operation, even with reduced valve lift. The results suggest a potential overall efficiency gain of 5–11.5%, depending on engine conditions. Despite practical limitations, the approach demonstrates promising performance benefits for advanced engine control systems.

Development and comparative analysis of a pure fuel cell configuration for a light commercial vehicle International Journal of Environmental Science and Technology, vol. 20, no. 6, pp. 6197-6208. https://doi.org/10.1007/s13762-022-04629-3 Tekin M., Karamangil M. İ. (2023) This study develops and compares a fuel cell powertrain configuration with a conventional diesel engine for a light commercial vehicle on a tank-to-wheel basis. Results show that the fuel cell system achieves a 32% reduction in equivalent fuel consumption, highlighting its efficiency advantage. The inclusion of regenerative braking further improves performance, reducing traction energy demand and recovering up to 55% of braking energy. Overall, the work demonstrates the potential of fuel cell vehicles to significantly enhance energy efficiency and reduce emissions compared to conventional systems.

Recent Publications

Evaluation of the Performance of Nickel Manganese Cobalt and Lithium Titanate Oxide Batteries for Electric Vehicles Under WLTP Driving Cycle International Journal of Advanced Natural Sciences and Engineering Researches, vol. 9, pp. 229-238. https://as-proceeding.com/index.php/ijanser/article/view/2799/2666 Tekin M. (2025)

Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions Heliyon, vol. 10, no. 7. https://doi.org/10.1016/j.heliyon.2024.e28454 Tekin M., Karamangil M. İ. (2024)

Elektrikli Araçlarda Batarya Yangınlarına Genel Bakış Uluslararası Yakıtlar Yanma ve Yangın Dergisi, vol. 11, no. 1, pp. 29-40. https://doi.org/10.52702/fce.1224612 Karamangil M. İ., Sürmen A., Tekin M. (2023)

Comparison of fuel consumption and recoverable energy according to NEDC and WLTP cycles of a vehicle CT&F - Ciencia, Tecnología & Futuro, vol. 12, no. 2, pp. 31-38. https://doi.org/10.29047/01225383.628 Karamangil M. İ., Tekin M. (2022)

Investigation of the Contribution of Deceleration Fuel Cut-off and Start/Stop Technologies to Fuel Economy by Considering New European Driving Cycle Transportation Research Record, vol. 2676, no. 5, pp. 388-397. https://doi.org/10.1177/03611981211066903 Tekin M., Karamangil M. İ. (2022)

Forming evolution of titanium grade 2 sheets Materialpruefung/Materials Testing, vol. 64, no. 1, pp. 116-124. https://doi.org/10.1515/mt-2021-2004 Tekin M., Ertan R., Özgül H. G. (2022)

Conference Presentations

Evaluation of Nickel Manganese Cobalt and Lithium Titanate Oxide Batteries for Electric Vehicles under WLTP Driving Cycle 8th International Conference on Applied Engineering and Natural Sciences (ICAENS 2025), Konya, Turkey, August 22-23, 2025 - (Abstract) Tekin M.

Overview of Battery Fires in Electric Vehicles 16th International Combustion Symposium, Aydın, Turkey, September 8, 2022 - (Full Paper) Karamangil M. İ., Sürmen A., Tekin M.

Detection of Pollutant Emissions and Polycyclic Aromatic Hydrocarbon (PAH) Emissions during Cold Start in Gasoline Engines OTEKON2020, 10th International Automotive Technologies Congress, Bursa, Turkey, September 6-7, 2021 - Vol.1, Issue 1, pp.206-215 - (Full Paper) Durmuş H., Tekin M., Cindoruk S. S., Türköz N., Karamangil M. İ.

Implementation of the Piezo-Actuated Electronic Driver for Continuously Variable Valve Timing on an Engine OTEKON 2020, Bursa, Turkey, September 6-7, 2021 - Vol.1, Issue 1, pp.1430-1439 - (Full Paper) Yiğit E., Dirim B., Sürmen A., Karamangil M. İ., Avcı A., Işıklı F., Tekin M., Turkoz N.

Experimental Determination of Volumetric Efficiency Increase Provided by Piezo-Actuated Valve Drive System OTEKON 2020, Bursa, Turkey, September 6-7, 2021 - (Full Paper) Sürmen A., Karamangil M. İ., Avcı A., Dirim B., Işıklı F., Tekin M., et al.

Electronic Driver Design of a Piezo-Actuated Valve Mechanism for Continuously Variable Valve Timing ELECO, November 28-30, 2019 - (Full Paper) Dirim B., Sürmen A., Karamangil M. İ., Avcı A., Işıklı F., Tekin M., et al.

Design of a Piezo-Actuated Valve Mechanism for Continuously Variable Valve Timing 22nd Heat Science and Technology Congress (ULIBTK 2019), September 11-14, 2019 - (Full Paper) Sürmen A., Karamangil M. İ., Avcı A., Dirim B., Işıklı F., Tekin M., et al.

Optimization of Resistance Spot Welding Parameters Using Factorial Design Approach OTEKON 2018, May 7-8, 2018 - (Poster Presentation) İş U., Ertan R., Tekin M.

Projects

Use of Hydrogen Obtained from Ammonia Reactor as Fuel in Gasoline Engines (2026 - Ongoing) Higher Education Institutions Supported Karamangil M. İ. (Principal Investigator), Çilingiroğlu U. C., Tekin M., Türköz N., Dönmez.

State-of-Charge (SOC) and State-of-Health (SOH) Estimation of Batteries Produced from Different Materials (2023 - 2026) Higher Education Institutions Supported Project, BAP Research Karamangil M. İ. (Principal Investigator), Yılmaz E., Tekin M., Sürmen.

TÜBİTAK 1004 Battery Technologies Research and Development Platform for Electric Vehicles (BATEG) - Sustainable Development (2022 - 2026) TÜBİTAK Project, 1004 - Excellence Center Support Sevilgen G. (Principal Investigator), Kılıç M., Etemoğlu A. B., Karpat F., Kaya N., Sürmen A., et.

Development of Piezo-Actuated Valve Drive Mechanism for Internal Combustion Engines (2018 - 2021) TÜBİTAK Project, 1003 - Priority Areas R&D Projects Support Sürmen A. (Principal Investigator), Avcı A., Karamangil M. İ., Isikli F., Tekin M., Turkoz.

Awards & Recognition

Research Achievement Award - 2024 In 2024, this academic achievement award was given for research published in Web of Science-indexed journals that rank within the top 10% of citations in their field. Comparative analysis of equivalent circuit battery models for EV battery management systems Journal of Energy Storage, 86 Tekin M., Karamangil M. İ.