Optimizing Electric Vehicle Performance, Range and Parameter Estimation through NEDC Urban and Suburban Analysis using MATLAB
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This research paper focuses on electric vehicle (EV) driving range and parameter estimation, with an emphasis on analyzing the New European Driving Cycle (NEDC) urban and suburban drive cycles. By examining these drive cycles, we obtain critical data on the moments when an electric vehicle transitions between constant velocity, acceleration, and deceleration phases, which significantly affect power consumption and driving range. We investigate various techniques for parameter estimation, including battery capacity, energy consumption rates, and powertrain efficiency, essential for improving EV performance and providing realistic range expectations. Empirical experiments in diverse driving conditions contribute valuable data to refine our understanding of EV driving range and performance in different scenarios. The research underscores the role of predictive modeling, data analytics, and advanced technologies in real-time parameter estimation, offering precise and convenient range predictions to enhance user confidence.
T. Mamo, R. Gopal, B. Yoseph, S. Tamirat, and Y. Seifu, "Numerical Study on Low Speed Electric Car for Public Transportation to Predict its Aerodynamic Performance and Stability," Engineering And Technology Journal, vol. 8, no. 5, pp. 2183-2190, 2023.
B. Sharmila, K. Srinivasan, D. Devasena, M. Suresh, H. Panchal, R. Ashok Kumar, R. Meena Kumari, K. Kumar Sadasivuni, and R. Kumar Rajnikant Shah, "Modeling and performance analysis of electric vehicle," International Journal of Ambient Energy, vol. 43, no. 1, pp. 5034-5040, 2022, doi: 10.1080/01430750.2021.1932587.
H. Yu and M. Huang, "Potential energy analysis and limit cycle control for dynamics stability of in-wheel driving electric vehicle," in IEEE Vehicle Power and Propulsion Conference, Harbin, 2008, pp. 1-5.
K. M. Rahman and M. Ehsani, "Performance analysis of electric motor drives for electric and hybrid electric vehicle applications," in Power Electronics in Transportation, IEEE, 1996, pp. 49-56.
A. Skuza and R. S. Jurecki, "Analysis of factors affecting the energy consumption of an EV vehicle – a literature study," Energy, vol. 58, pp. 168-177, doi: 10.1088/1757-899X/1247/1/012001.
M. Muratori, M. J. Moran, E. Serra, and G. Rizzoni, "Highly-resolved modeling of personal transportation energy consumption in the United-States," Energy, vol. 58, pp. 168-177, 2013.
CarFolio, "2021 BMW i4 e-Drive 40 specifications," [Online]. Available: www.carfolio.com/bmw-i4-edrive40-728508 (accessed May, 2023).
Tata Motors, "2022 Tata Nexon EV specifications," [Online]. Available:
www.nexonev.tatamotors.com/features/ (accessed June, 2023).
S. K. Vempalli, J. Ramprabhakar, S. Shankar, and G. Prabhakar, "Electric vehicle designing, modeling and simulation," in 2018 4th International Conference for Convergence in Technology (I2CT), 2018, pp. 1–6.
MathWorks, "Explore the electric vehicle reference application," [Online]. Available:
www.mathworks.com/help/autoblks/ug/exploretheelectrical.
