Analysis of energy recovery methods in electric vehicles

Öz

The growing role of electric vehicles in future transportation systems is critically significant for energy efficiency and environmental sustainability. The integration of renewable energy sources into electric vehicles may reduce energy costs and lower carbon emissions. This study presents a comparative analysis of five energy recovery methods used in electric vehicles: regenerative braking, flexible solar panels, integrated wind turbines, thermoelectric systems, and hybrid systems. The advantages and disadvantages of these methods are analyzed with respect to efficiency, cost, and applicability. The results show that integrating these technologies can reduce total energy consumption by up to 50%. However, the main challenges include high infrastructure costs and challenging design integration. As a scientific contribution, this study provides an original framework for researchers and policymakers to assess context-specific technological implementations. Recommendations include the development of low-cost materials, the integration of AI-driven energy management systems, and the promotion of wind turbine applications in large-scale vehicles. This work aims to deliver practical insights to policymakers and industry stakeholders to support the establishment of a sustainable transportation ecosystem.

Anahtar Kelimeler

• Electric vehicles
• Energy recovery
• Regenerative braking
• Thermoelectric
• Wind turbine

Kaynakça

1. SPERLING, D. Future Drive: Electric Vehicles and Sustainable Transportation. Island Press, 2013.
2. XIN, L.; AHMAD, M.; KHATTAK, S. I. Impact of Innovation in Hybrid Electric Vehicles-Related Technologies on Carbon Dioxide Emissions in the 15 Most Innovative Countries. Technological Forecasting and Social Change, 2023, 196: 122859. https://doi.org/10.1016/j.techfore.2023.122859
3. LI, D.; LAU, A. D.; GONG, Y. Electric Vehicles Empowering the Construction of Green Sustainable Transportation Networks in Chinese Cities: Dynamic Evolution, Frontier Trends, and Construction Pathways. Energies, 2025, 18(8): 1943. https://doi.org/10.3390/en18081943
4. KURTULMUŞ, Z. N.; KARAKAYA, A. Efficiency Analysis of Regenerative Brake System Using Flywheel Energy Storage Technology in Electric Vehicles. Tehnicki Vjesnik-Technical Gazette, 2024, 31(2): 442–448. https://doi.org/10.17559/TV-20230611000719
5. ŞAHINGÖZ, S.; ÖZDEMIR, E. B. Problem-Oriented Environmental Understanding of Secondary School Students: A Mixed Method Research. International Journal of Turkish Education Sciences, 2024, 12(3): 1196–1231. https://doi.org/10.46778/goputeb.1510496
6. GÜNER, U. Environmental Sustainability. Utku Güner, 2020. https://doi.org/10.1016/j.est.2022.105033
7. HAMADA, A. T.; ORHAN, M. F. An Overview of Regenerative Braking Systems. Journal of Energy Storage, 2022, 52: 105033. https://doi.org/10.1002/er.4252
8. HAYAT MB, ALI S, KHAN ZA, et al. Solar Energy—A Look into Power Generation, Challenges, and a Solar-Powered Future. Int J Energy Res. 2019; 43(3):1049–1067. https://doi.org/10.1002/er.4252

9. XU, D. et al. A Soft Actor-Critic-Based Energy Management Strategy for Electric Vehicles with Hybrid Energy Storage Systems. Journal of Power Sources, 2022, 524: 231099. https://doi.org/10.1016/j.jpowsour.2022.231099
10. PUMA-BENAVIDES, D. S. et al. A Systematic Review of Technologies, Control Methods, and Optimization for Extended-Range Electric Vehicles. Applied Sciences, 2021, 11(15): 7095. https://doi.org/10.3390/app11157095
11. MASSAGUER, E. et al. Modeling Analysis of Longitudinal Thermoelectric Energy Harvester in Low Temperature Waste Heat Recovery Applications. Applied Energy, 2015, 140: 184–195. https://doi.org/10.1016/j.apenergy.2014.12.005
12. KARANA, D. R.; SAHOO, R. R. Experimental Study on Exergy and Sustainability Analysis of the Thermoelectric-Based Exhaust Waste Heat Recovery System. International Journal of Exergy, 2021, 34(1): 1–15. https://doi.org/10.1504/IJEX.2021.112032
13. LU, P. Investigation into the Application of Turbo-Compounding for Downsized Gasoline Engines. PhD Thesis. University of Bath, 2017. https://researchportal.bath.ac.uk/en/studentTheses/fbce67cc-f8e5-49e5-b4b0-ed34d84aeefe
14. PENG, Z.; HE, Z. Optimization of Regenerative Braking Control Strategy for Dual-Motor Electric Vehicles Based on Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems, 2025. https://doi.org/10.1109/TITS.2025.3553875
15. PRASANTH, B. et al. Maximizing Regenerative Braking Energy Harnessing in Electric Vehicles Using Machine Learning Techniques. Electronics, 2023, 12(5): 1119. https://www.mdpi.com/2079-9292/12/5/1119#
16. MIN, K. et al. Multi-Level Deceleration Planning Based on Reinforcement Learning Algorithm for Autonomous Regenerative Braking of EV. World Electric Vehicle Journal, 2019, 10(3): 57. https://doi.org/10.3390/wevj10030057
17. AJIT, R. et al. Flexible Solar Cells for Electric Vehicles. Journal of Applied Science, Engineering, Technology and Management, 2023, 1(1): 16–20. https://doi.org/10.61779/jasetm.v1i1.4
18. GIANNOULI, M.; YIANOULIS, P. Study on the Incorporation of Photovoltaic Systems as an Auxiliary Power Source for Hybrid and Electric Vehicles. Solar Energy, 2012, 86(1): 441–451. https://doi.org/10.1016/j.solener.2011.10.019
19. NGUEFACK, M. C. F. et al. 3D Numerical Investigation of the Air Flow in the Wake of a Compact SUV-Type Vehicle Fitted with Optimized Horizontal Savonius Turbines. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023, 45(1): 17. https://doi.org/10.1007/s40430-022-03933-w
20. RUBIO, F.; LLOPIS-ALBERT, C. Analysis of the Use of a Wind Turbine as an Energy Recovery Device in Transport Systems. Mathematics, 2021, 9(18): 2265. https://doi.org/10.3390/math9182265
21. GONCALVES, L. M. et al. Heat-Pipe Assisted Thermoelectric Generators for Exhaust Gas Applications. In: ASME International Mechanical Engineering Congress and Exposition, 2010, pp. 1387–1396. https://doi.org/10.1115/IMECE2010-40926
22. ORR, B. et al. Electricity Generation from an Exhaust Heat Recovery System Utilizing Thermoelectric Cells and Heat Pipes. Applied Thermal Engineering, 2014, 73(1): 588–597. https://doi.org/10.1016/j.applthermaleng.2014.07.056
23. HONG, J. et al. Performance Investigation of Electric Vehicle Thermal Management System with Thermal Energy Storage and Waste Heat Recovery Systems. eTransportation, 2024, 20: 100317. https://doi.org/10.1016/j.etran.2024.100317
24. HE, L. et al. Performance Investigation of Integrated Thermal Management System for Electric Vehicle with Waste Heat Recovery of Electric Drive System. Journal of Energy Storage, 2024, 102: 114075. https://doi.org/10.1016/j.est.2024.114075
25. ALHAMMAD, Y. A. et al. Current Control to Improve COP of Thermoelectric Generator and Cooler for PV Panel Cooling. In: 2016 13th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2016, pp. 53–58. https://doi.org/10.1109/SSD.2016.7473715
26. XU, P. Temperature Field Analysis of Engine’s Energy Recovery System Using Fluid–Structure Coupling. Journal of The Institution of Engineers (India): Series C, 2021, 102(6): 1553–1563. https://doi.org/10.1007/s40032-021-00753-0
27. LV, C. et al. Mechanism Analysis and Evaluation Methodology of Regenerative Braking Contribution to Energy Efficiency Improvement of Electrified Vehicles. Energy Conversion and Management, 2015, 92: 469–482. https://doi.org/10.1016/j.enconman.2014.12.092
28. SATHE, R. S. et al. Regenerative Braking System: A Review. International Journal for Research in Applied Science and Engineering Technology, 2022. https://doi.org/10.22214/ijraset.2022.42551
29. ARMENTA-DÉU, C.; CORTÉS, H. Analysis of Kinetic Energy Recovery Systems in Electric Vehicles. Vehicles, 2023, 5(2): 387–403. https://doi.org/10.3390/vehicles5020022
30. RECALDE, A. et al. Machine Learning and Optimization in Energy Management Systems for Plug-in Hybrid Electric Vehicles: A Comprehensive Review. Energies, 2024, 17(13): 3059. https://doi.org/10.3390/en17133059
31. HULAGU, S.; CELIKOGLU, H. B. Electric Vehicle Location Routing Problem with Vehicle Motion Dynamics-Based Energy Consumption and Recovery. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(8): 10275–10286. https://doi.org/10.1109/TITS.2021.3089675
32. HOSSEINI, S. M. et al. Energy Recovery and Energy Harvesting in Electric and Fuel Cell Vehicles, a Review of Recent Advances. IEEE Access, 2023, 11: 83107–83135. https://doi.org/10.1109/ACCESS.2023.3301329
33. STAJILOV, V.; BUJOREANU, C. Regenerative Braking Kinematic Analysis and Optimisation Strategies. In: IOP Conference Series: Materials Science and Engineering, 2020, p. 012062. https//doi.org/10.1088/1757-899X/997/1/012062
34. BORETTI, A. Comparison of Regenerative Braking Efficiencies of MY2012 and MY2013 Nissan Leaf. 2016.
35. TOTEV, V. et al. Regenerative Braking of Electric Vehicles. In: 2019 11th Electrical Engineering Faculty Conference (BulEF). IEEE, 2019, pp. 1–5. https://doi.org/10.1109/BulEF48056.2019.9030768
36. LODI, C. et al. Reducing CO2 Emissions of Conventional Fuel Cars by Vehicle Photovoltaic Roofs. Transportation Research Part D: Transport and Environment, 2018, 59: 313–324. https://doi.org/10.1016/j.trd.2018.01.020
37. VU, H. et al. Static Concentrator Photovoltaics Module for Electric Vehicle Applications Based on Compound Parabolic Concentrator. Energies, 2022, 15(19): 6951.U, Hoang; VU, Ngoc Hai; SHIN, Seoyong. Static concentrator photovoltaics module for electric vehicle applications based on compound parabolic concentrator. Energies, 2022, 15.19: 6951. https://doi.org/10.3390/en15196951
38. MAK, E. S. H. Solar Town Car Development Programme. In: 2020 8th International Conference on Power Electronics Systems and Applications (PESA). IEEE, 2020, pp. 1–4. https://doi.org/10.1109/PESA50370.2020.9343959
39. RAUT, K. et al. Modeling and Simulation of Photovoltaic Powered Battery-Supercapacitor Hybrid Energy Storage System for Electric Vehicles. Journal of Energy Storage, 2024, 82: 110324. https://doi.org/10.1016/j.est.2024.110324
40. DIAHOVCHENKO, I. et al. Application of Photovoltaic Panels in Electric Vehicles to Enhance the Range. Heliyon, 2022, 8(12). https://doi.org/10.1016/j.heliyon.2022.e12425
41. OLSON, P. Using Solar Photovoltaic Power for Remote Vehicles. 2022. https://scholarexchange.furman.edu/scjas/2022/all/54
42. KAVIN, R. et al. Optimal Charging and Discharging Planning for Electric Vehicles in Energy Saving System. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS). IEEE, 2019. https://doi.org/10.1109/ICACCS.2019.8728477
43. ZHANG, L. et al. Aerodynamic Analysis of Roof-Mounted Wind Turbines for Electric Vehicles Using CFD Simulations. Renewable Energy, 2021, 178: 1294–1305.
44. RUBIO, F.; LLOPIS-ALBERT, C. Viability of Using Wind Turbines for Electricity Generation in Electric Vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences, 2019, 6(1): 115–126. https://doi.org/10.4995/muse.2019.11743
45. CRISTIAN, H.; DAN, S. Using the Car in Motion Relative Wind Power for Charging the Car Batteries. In: 2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC). IEEE, 2022. https://doi.org/10.1109/ESTC55720.2022.9939499
46. QUARTEY, G.; ADZIMAH, S. K. Generation of Electrical Power by a Wind Turbine for Charging Moving Electric Cars. Journal of Energy Technology and Policy, 2014, 4(3): 1–11.
47. BALALAEV, A. N. et al. An Energy-Efficiency Assessment of a Railroad Passenger-Car Power-Supply System Using Wind Generators and Photovoltaic Panels. Russian Electrical Engineering, 2020, 91: 195–198. https://doi.org/10.3103/S1068371220030062
48. GRONFULA, M.; SAYED, K. AI-Driven Predictive Control for Dynamic Energy Optimization in Flying Cars. Energies, 2025, 18(7): 1781. https://doi.org/10.3390/en18071781
49. BAI, S.; LIU, C. Overview of Energy Harvesting and Emission Reduction Technologies in Hybrid Electric Vehicles. Renewable and Sustainable Energy Reviews, 2021, 147: 111188. https://doi.org/10.1016/j.rser.2021.111188