Evaluation of the performance of batteries used in electric vehicles using TOPSIS method
Keywords:
Electric vehicles, electric vehicle battery, TOPSIS
Abstract
Today, the increasing level of awareness on the environmental damage of fossil fuel use and the decrease in these fuel reserves increase the interest in clean transportation. From this point of view, electric vehicles (EV) are important alternatives for clean transportation and their market share is expected to increase in the near future due to zero CO2 emissions, lower operating costs, noiseless operation and lower maintenance costs. One of the most important components of EVs is the battery. Because the performance of the battery directly affects the performance of the EVs. Therefore, it is important to evaluate the performance of the batteries to be used in these vehicles and to choose the most suitable battery after this evaluation. In this study, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) which is one of the multi-criteria decision-making methods (MCDM) is used to evaluate the performance of batteries used in EVs. Six batteries used in EVs are evaluated according to the criteria of nominal voltage, maximum energy density, maximum power density, operating temperature, number of cycles and cost. At the end of the study, it is determined that the Li-ion battery had the best performance according to the evaluation criteria.
References
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[20] Yayla, A. Y., Yildiz, A., & Ozbek, A. (2012). Fuzzy TOPSIS method in supplier selection and application in the garment industry. Fibres & Textiles in Eastern Europe, 20, 4(93): 20-23.
[21] Yıldız, A., & Demir, Y. (2019). Bulanık TOPSIS yöntemiyle Türkiye’nin yerli otomobili için en uygun fabrika yerinin seçimi. Business & Management Studies: An International Journal, 7(4), 1427-1445.
[22] Kurt, Z. B., & Yıldız, A. (2020). Ar-Ge/İnovasyon projelerinin değerlendirilmesi ve önceliklendirilmesi için Fuzzy TOPSIS tabanlı karar modeli. Electronic Letters on Science and Engineering, 16(2), 93-107.
[23] Yildiz, A. (2019). Green supplier selection using topsis method: a case study from the automotive supply industry. Journal of Engineering Research and Applied Science, 8(2), 1146-1152.
[24] Ocampo, L., Tanaid, R. A., Tiu, A. M., Selerio Jr, E., & Yamagishi, K. (2021). Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort. Applied Soft Computing, 113, 107906.
[25] Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.
[2] Manzetti, S., & Mariasiu, F. (2015). Electric vehicle battery technologies: From present state to future systems. Renewable and Sustainable Energy Reviews, 51, 1004-1012.
[3] Mazman, M., Uzun, D., Kaypmaz, C., & Biçer, E. (2012). Elektrikli araçlar için enerji depolama çözümleri. Mühendis ve Makina, 21-25.
[4] Aktaş, M., Baygüneş, B., kıvrak, S., Çavuş, B., & Sözen, F. (2020). Elektrikli araç için düşük maliyetli bir batarya yönetim sistemi tasarımı ve gerçekleştirilmesi. Avrupa Bilim ve Teknoloji Dergisi, 227-238.
[5] Loganathan, M. K., Mishra, B., Tan, C. M., Kongsvik, T., & Rai, R. N. (2021). Multi-criteria decision making (MCDM) for the selection of Li-Ion batteries used in electric vehicles (EVs). Materials Today: Proceedings, 41, 1073-1077.
[6] Gómez, J. C., & Morcos, M. M. (2003). Impact of EV battery chargers on the power quality of distribution systems. IEEE transactions on power delivery, 18(3), 975-981.
[7] Çetin, M. S., Karakaya, B., & Gençoğlu, M. (2021). Elektrikli araçlar için lityum iyon bataryaların modellenmesi. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 33(2), 755-763.
[8] Özbay, H., Közkurt, C., Dalcali, A., & Tektaş, M. (2017). Geleceğin ulaşım tercihi: Elektrikli araçlar. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 3(1), 34-50.
[9] Hamurcu, M., Çakir, E., & Eren, T. (2021). Kullanıcı perspektifli çok kriterli karar verme ile elektrikli araçlarda batarya seçimi. International Journal of Engineering Research and Development, 13(2), 733-749.
[10] Thomas, C. S. (2012). How green are electric vehicles?. International journal of hydrogen energy, 37(7), 6053-6062.
[11] Kilic, E. (2019). Da-da yükselten dönüştürücü ile elektrikli araç batarya şarj cihazi tasarimi. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 22(4), 281-287.
[12] Sayin, A. A., & Yüksel, İ. (2011). Elektrikli Renault fluence aracı, lityum-iyon bataryasının modellenmesi ve batarya yönetimi. Engineer & the Machinery Magazine, (615).
[13] Yang, C. (2022). Running battery electric vehicles with extended range: Coupling cost and energy analysis. Applied Energy, 306, 118116.
[14] Elias, M. F. M., Nor, K. M., Rahim, N. A., & Arof, A. K. (2003, December). Lithium-ion battery charger for high energy application. In Proceedings. National Power Engineering Conference, 2003. PECon 2003. (pp. 283-288). IEEE.
[15] Akgündoğdu A., Tiryaki H., Karadeniz, O., Erdoğan, G., Şahin U., Yilmaz, M. Y., İn S., & Kocaarslan, İ. (2017). Elektrikli araçlar için batarya paketi ve batarya yönetim sisteminin gerçeklenmesi. World Electro Mobility Conference (WELMO’17), İzmir, Türkiye, 1(1), 56-62.
[16] Wassiliadis, N., Schneider, J., Frank, A., Wildfeuer, L., Lin, X., Jossen, A., & Lienkamp, M. (2021). Review of fast charging strategies for lithium-ion battery systems and their applicability for battery electric vehicles. Journal of Energy Storage, 44, 103306.
[17] Hwang, C. L., & Yoon, K. (1981). Multiple attributes decision-making methods and applications. Heideberg: Springer.
[18] Rajput, V., Sahu, N. K., & Agrawal, A. (2021). Integrated AHP-TOPSIS methods for optimization of epoxy composite filled with Kota stone dust. Materials Today: Proceedings, in press.
[19] Bera, B., Shit, P. K., Sengupta, N., Saha, S., & Bhattacharjee, S. (2021). Susceptibility of deforestation hotspots in terai-dooars belt of Himalayan foothills: a comparative analysis of VIKOR and TOPSIS models. Journal of King Saud University-Computer and Information Sciences, in press.
[20] Yayla, A. Y., Yildiz, A., & Ozbek, A. (2012). Fuzzy TOPSIS method in supplier selection and application in the garment industry. Fibres & Textiles in Eastern Europe, 20, 4(93): 20-23.
[21] Yıldız, A., & Demir, Y. (2019). Bulanık TOPSIS yöntemiyle Türkiye’nin yerli otomobili için en uygun fabrika yerinin seçimi. Business & Management Studies: An International Journal, 7(4), 1427-1445.
[22] Kurt, Z. B., & Yıldız, A. (2020). Ar-Ge/İnovasyon projelerinin değerlendirilmesi ve önceliklendirilmesi için Fuzzy TOPSIS tabanlı karar modeli. Electronic Letters on Science and Engineering, 16(2), 93-107.
[23] Yildiz, A. (2019). Green supplier selection using topsis method: a case study from the automotive supply industry. Journal of Engineering Research and Applied Science, 8(2), 1146-1152.
[24] Ocampo, L., Tanaid, R. A., Tiu, A. M., Selerio Jr, E., & Yamagishi, K. (2021). Classifying the degree of exposure of customers to COVID-19 in the restaurant industry: A novel intuitionistic fuzzy set extension of the TOPSIS-Sort. Applied Soft Computing, 113, 107906.
[25] Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E., & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry. Computers & Operations Research, 89, 337-347.
Published
2021-12-31
How to Cite
Yildiz, A. (2021). Evaluation of the performance of batteries used in electric vehicles using TOPSIS method. Journal of Engineering Research and Applied Science, 10(2), 1848-1855. Retrieved from http://www.journaleras.com/index.php/jeras/article/view/262
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Articles
