Design and SOC Determination of Electric Vehicle in Indian Scenario

Vinod Kumar Vishwakarma, Swapnil Srivastava

Abstract


This paper discusses the problems pertaining to battery of electric vehicle (EV) design and state of charge (SOC) performance. EVs have become a practical way to reduce greenhouse gas emissions and dependency on fossil fuels, particularly in countries like India, where the transportation sector significantly contributes to pollution. This paper discusses the design considerations and state of charge (SOC) determination for EVs within the Indian context. It addresses the unique challenges posed by India's diverse climatic conditions, road infrastructure, and driving patterns. SOC determination is a critical aspect of EV operation that directly influences range and energy management. This paper presents various SOC estimation techniques, such as Coulomb counting, open-circuit voltage, and model-based methods and evaluates their applicability. The effect of temperature, driving cycles, and battery aging on SOC accuracy is also discussed. The aim of this approach is to contribute the widespread adoption of EVs in India that supports the country's transition to sustainable transportation. Aspects of the vehicle type configuration, energy storage system (ESS) related issues as SOC, ESS current etc. are analyzed.


Keywords


Electric vehicle; energy storage system; ADVISOR; state of charge; Performance; Drive cycle

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References


Jadhav, Anuja R. "Drive cycle analysis for electric vehicle using MAT-LAB." International Journal of Engineering Science and Computing, vol. 7, pp. 9–15,2017

Keith, B.W.; Mathew, R.C. “Using an advanced vehicle simulator (ADVISOR) to guide hybrid vehicle propulsion system development”; National Renewable Energy Laboratory: Golden, CO, USA, 2014.

Tony, M.; Wipke, K. “Modelling grid-connected hybrid electric vehicles using ADVISOR”. In Proc. Sixteenth Annual Battery Conf. Applications and Advances, Long Beach, CA, USA, 12 Jan. 2001.

M. Ehsani, Y. Gao, S. Longo, and K. Ebrahimi, Modern electric, hybrid electric, and fuel cell vehicles. CRC press, 2018.

K. Atamnia, A. Lebaroud and M. Makhlouf, “Traction motor selection based on the performance analysis of pure electric vehicle under different driving scenarios,” Carpathian Journal of Electrical Engineering, vol. 14, no. 1, pp. 57-72, 2020.

J. Larminie and J. Lowry, Electric vehicle technology explained. John Wiley & Sons, 2012.

O. Chiver, L. Neamt and C. Barz, "Analysis of the performances of battery electric vehicles using ADVISOR," Int. Conf. and Exposition on Electrical and Power Engineering (EPE), Iasi, Romania, 2022, pp. 264-268, doi: 10.1109/EPE56121.2022.9959829.

R. R. Kumar, C. Bharatiraja, K. Udhayakumar, S. Devakirubakaran, K. S. Sekar and L. Mihet-Popa, "Advances in batteries, battery modeling, battery management system, battery thermal management, SOC, SOH, and charge/discharge characteristics in EV applications," IEEE Access, vol. 11, pp. 105761-105809, 2023, doi: 10.1109/ACCESS.2023.3318121

R.E. Tudoroiu, M. Zaheeruddin, S.M. Radu, and N. Tudoroiu, ‘Real-time implementation of an extended Kalman filter and a PI observer for state estimation of rechargeable Li-Ion batteries in hybrid electric vehicle applications—A case study’, Batteries, vol. 4, no. 2, p. 19, 2018.

S. Srivastava, K. Yadav, and S. K. Maurya, “Managing power flow in hybrid electric vehicle with auxiliary hybrid energy source coupled with bidirectional converter using PI control,” Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), vol. 15, no. 7, pp. 579–591, 2022, doi.org/10.2174/2352096515666220823155413

X. Fan, W. Zhang, C. Zhang, A. Chen, and F. An, “SOC estimation of Li-ion battery using convolutional neural network with U-Net architecture,” Energy, vol. 256, p. 124612, 2022, doi.org/10.1016/j.energy.2022.124612

Y.J. Ee, K.S. Tey, K.S. Lim, P. Shrivastava, S. Adnan, and H. Ahmad, “Lithium-ion battery state of charge (SoC) estimation with non-electrical parameter using uniform fiber Bragg grating (FBG),” Journal of Energy Storage, vol. 40, p. 102704, 2021, doi.org/10.1016/j.est.2021.102704

J. Calitz, and R.C. Bansal, “The system value of optimized battery electric vehicle charging: A case study in South Africa”, Electrical Engineering, vol. 104, 2022, pp. 843-853.

S. Srivastava, S. K. Maurya, and R. K. Chauhan, “Fuel-efficiency improvement by component-size optimization in hybrid electric vehicles,” World Electric Vehicle Journal, vol. 14, no. 1, p. 24, 2023, doi.org/10.3390/wevj14010024

Kumar, A. and Thakura, P.R., “ADVISOR-based performance analysis of a hybrid electric vehicle and comparison with a conventional vehicle”, IETE Journal of Research, vol. 69, no. 2, pp.753-761, 2023.

S. Nagar, V. Gupta, R. Kumar, R. C. Bansal, and R. Naidoo, “PV-BES integrated residential society governed electric charging station”, 9th Int. Conf. on Renewable Power Generation (IET-RPG), paper id: 0037, Dublin, Ireland, March 1-2, 2021.