Development of an electric drive for personal light electric vehicles
DOI:
https://doi.org/10.30977/VEIT.2024.25.0.4Keywords:
ersonal light electric vehicle, electric drive, electric motor, control system, battery, energy intensityAbstract
Problem. The article addresses the challenge of enhancing inclusive mobility and environmental cleanliness by developing a traction electric drive for personal light electric vehicles. A study was conducted on modern electric drive systems for personal light electric vehicles. Goal. The aim is to boost inclusive mobility and environmental cleanliness through the development of a traction electric drive for a personal light electric vehicle, specifically based on a tricycle. Methodology. The methodology involves scientific analysis and synthesis of traction electric drives for electric vehicles. An assessment of the nominal capacity of the battery module from the Nissan Leaf electric car was conducted using both partial discharge procedures and the Leaf Spy Pro program. Results. Based on an analysis of existing electric drive systems, a traction electric drive for a tricycle was developed. A functional diagram of the electric bicycle drive was generated. A control system for a sensorless brushless motor was developed, determining rotor position by measuring EMF in the free phase. This led to the creation of a stable voltage electrical circuit with a virtual midpoint. The tricycle's electric drive utilizes two 10-inch motor wheels on the rear wheels, enabling high speed and efficiency. Controllers specifically designed for electric wheel motors with a power of 350 W were selected to control the traction electric drive. Modules from the 2015 Nissan Leaf electric car's battery, which had depleted 20% of their capacity, were chosen to power the electric drive. The battery health status is 77.95%. A model of the battery's electrical equivalent circuit was constructed, and partial discharge graphs of the Nissan Leaf battery module were analyzed. Originality. The results provide a comprehensive insight into the development of a traction electric drive for personal light electric vehicles, using a tricycle as an example. Practical value. The research led to the development of an electric drive for a three-wheeled vehicle, with two motor wheels of 350 W nominal power each. The power supply voltage ranges from 36 V to 48 V, powered by six battery modules from the Nissan Leaf electric car, totaling 48 V. The energy capacity of one battery module is 0.3898 kWh, resulting in a total energy capacity of 2.3388 kWh for the vehicle's battery. However, the realizable capacity does not exceed 1.871 kWh, providing a travel distance of approximately 75 km on one battery charge. These findings demonstrate the feasibility of reusing batteries from electric cars with diminished capacity to power light electric vehicles. The results are relevant for scientific and technical professionals involved in electric vehicle development.
References
Electric Bike Market Growth & Trends | Industry Analysis [2030]. (2023). Fortune Business In-sights™ | Global Market Research Reports & Consulting. https://www.fortunebusinessinsights.com/electric-e-bike-market-102022
Mina, G., Bonadonna, A., Peira, G., & Beltramo, R. (2024). How to improve the attractiveness of e-bikes for consumers: Insights from a systemat-ic review. Journal of Cleaner Production, 140957. https://doi.org/10.1016/j.jclepro.2024.140957
Cai, J., Zhao, Z., Zhou, Z., & Wang, Y. (2024). Predicting the carbon emission reduction poten-tial of shared electric bicycle travel. Transporta-tion Research Part D: Transport and Environ-ment, 129, 104107. https://doi.org/10.1016/j.trd.2024.104107
Hung, N. B., & Lim, O. (2020). A review of his-tory, development, design and research of elec-tric bicycles. Applied Energy, 260, 114323. https://doi.org/10.1016/j.apenergy.2019.114323
Julio, R., & Monzon, A. (2022). Long term as-sessment of a successful e-bike-sharing system. Key drivers and impact on travel behaviour. Case Studies on Transport Policy. https://doi.org/10.1016/j.cstp.2022.04.019
Alarcón, F. E., Cawley, A. M., & Sauma, E. (2023). Electric mobility toward sustainable cit-ies and road-freight logistics: A systematic re-view and future research directions. Journal of Cleaner Production, 138959. https://doi.org/10.1016/j.jclepro.2023.138959
Hung, N. B., Sung, J., & Lim, O. (2018). A simu-lation and experimental study of operating per-formance of an electric bicycle integrated with a semi-automatic transmission. Applied Energy, 221, 319–333. https://doi.org/10.1016/j.apenergy.2018.03.195
Khan, F. M. N. U., Rasul, M. G., Sayem, A. S. M., & Mandal, N. (2023). Maximizing energy density of lithium-ion batteries for electric vehi-cles: A critical review. Energy Reports, 9, 11–21. https://doi.org/10.1016/j.egyr.2023.08.069
Смирнов, O., Борисенко, A. (2023). Порівня-льний аналіз електричних моделей літій-іонних акумуляторних батарей електромобі-лів. Автомобіль і електроніка. Сучасні техно-логії, (24), 50–61. https://doi.org/10.30977/veit.2023.24.0.5
Smyrnov, O., & Borysenko, A. (2023). Porivnialnyi analiz elektrychnykh modelei litii-ionnykh akumuliatornykh batarei elektromobiliv. Avtomobil i elektronika. Suchasni tekhnolohii, (24), 50–61. https://doi.org/10.30977/veit.2023.24.0.5
Barcellona, S., & Piegari, L. (2017). Lithium Ion Battery Models and Parameter Identification Techniques. Energies, 10(12), 2007. https://doi.org/10.3390/en10122007
Urquizo, J., & Singh, P. (2023). A review of health estimation methods for Lithium-ion bat-ter-ies in Electric Vehicles and their relevance for Battery Energy Storage Systems. Journal of Ener-gy Storage, 73, 109194. https://doi.org/10.1016/j.est.2023.109194
Jiang, Z., Li, J., Li, L., & Gu, J. (2022). Fraction-al modeling and parameter identification of lith-ium-ion battery. Ionics. https://doi.org/10.1007/s11581-022-04658-5
Xiong, R. (2020). Battery Management Algo-rithm for Electric Vehicles. Springer Singapore. https://doi.org/10.1007/978-981-15-0248-4
Yang, Z., Patil, D., & Fahimi, B. (2019). Electro-thermal Modeling of Lithium-Ion Batteries for Electric Vehicles. IEEE Transactions on Vehicu-lar Technology, 68(1), 170–179. https://doi.org/10.1109/tvt.2018.2880138
Xie, Y., Li, W., Hu, X., Zou, C., Feng, F., & Tang, X. (2020). Novel Mesoscale Electrother-mal Modeling for Lithium-Ion Batteries. IEEE Transactions on Power Electronics, 35(3), 2595–2614. https://doi.org/10.1109/tpel.2019.2927014
Saldana, G., Martin, J. I. S., Zamora, I., Asensio, F. J., Onederra, O., & Gonzalez, M. (2020). Em-pirical Electrical and Degradation Model for Electric Vehicle Batteries. IEEE Access, 8, 155576–155589. https://doi.org/10.1109/access.2020.3019477
Perez, H. E., Hu, X., Dey, S., & Moura, S. J. (2017). Optimal Charging of Li-Ion Batteries With Coupled Electro-Thermal-Aging Dynamics. IEEE Transactions on Vehicular Technology, 66(9), 7761–7770. https://doi.org/10.1109/tvt.2017.2676044
Kumar, R., Pachauri, R. K., Badoni, P., Bha-radwaj, D., Mittal, U., & Bisht, A. (2022). Inves-tigation on parallel hybrid electric bicycle along with issuer management system for mountainous region. Journal of Cleaner Production, 132430. https://doi.org/10.1016/j.jclepro.2022.132430
Smart e-Bike System. (2022). Effigear. https://www.effigear.com/en/content/24-smart-e-bike-system
Valeo 2BCXA-VIEWPLUS Cyclee System In-struction Manual. (2022). https://device.report/manual/10651994
Bosch to expand smart system in a big way for the 2023 season. (2022). E-Bike Blog. https://www.ebike24.com/blog/ebike-bosch-novelties-2023
Bosch e-bike motors - revolutionize your ride! (2024). Trek Bikes - Die besten Bikes und das hochwertigste Zubehör der Welt - Trek Bikes (DE). https://www.trekbikes.com/us/en_US/bosch/
The Bosch Smart System for Tern Bikes | Tern Bicycles. (2024). Tern Bicycles | Electric Bikes, Cargo eBikes and Folding Bikes. https://www.ternbicycles.com/en/explore/choosing-bike/bosch-smart-system-tern-bikes
Electrically propelled road vehicles —Test spec-ification for lithium-ion traction battery packs and systems — Part 4: Performance testing (ISO 12405-4:2018). (2018). https://www.iso.org/standard/55854.html
Ahmeid, M., Muhammad, M., Lambert, S., At-tidekou, P. S., & Milojevic, Z. (2022). A rapid capacity evaluation of retired electric vehicle battery modules using partial discharge test. Journal of Energy Storage, 50, 104562. https://doi.org/10.1016/j.est.2022.104562
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Copyright (c) 2024 Олег Смирнов, Анна Борисенко, Данило Марченко
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