Abstract
Apart from being emission-free, electric vehicles enjoy benefits such as low maintenance and operating costs, noise-free, easy to drive, and the convenience of charging at home. All these benefits are directly dependent on the performance of the battery used in the vehicle. In this paper, one-dimensional modeling of Li-ion and NiMH batteries was developed, and their performances were studied. The performance characteristics of the batteries, such as the charging and discharging characteristics, the constituent losses of over-potential voltage, and the electrolyte concentration profile at various stages of charge and discharge cycles, were also studied. It is found that the electrolyte concentration profiles of Li-ion batteries show a drooping behavior at the start of the discharge cycle and a rising behavior at the end of discharge because of the concentration polarization due to the low diffusion coefficient. The electrolyte concentration profiles of NiMH batteries show rising behavior throughout the discharge cycle without any deviations. The reason behind this even behavior throughout the discharge cycle is attributed to the reduced concentration polarization due to electrolyte transport limitations. It is found that the losses associated with the NiMH battery are larger and almost constant throughout the battery’s operation. Whereas for the Li-ion batteries, the losses are less variable. The electrolyte concentration directly affects the overpotential losses incurred during the charging and discharging phases.
Funder
Gheorghe Asachi Technical University of Iaşi—TUIASI-Romania, Scientific Research Funds
Subject
Electrical and Electronic Engineering,Electrochemistry,Energy Engineering and Power Technology
Reference47 articles.
1. FEA based analysis and design of PMSM for electric vehicle applications using magnet software;Sheela;Int. J. Ambient. Energy,2022
2. A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms;Rajamoorthy;Energy Sources Part A Recovery Util. Environ. Eff.,2022
3. A novel method for Arduino based electric vehicle emulator;Ashokkumar;Int. J. Ambient. Energy,2022
4. Design and optimisation of slotted stator tooth switched reluctance motor for torque enhancement for electric vehicle applications;Patel;Int. J. Ambient. Energy,2022
5. Karthik, M., Usha, S., Venkateswaran, K., Panchal, H., Suresh, M., Priya, V., and Hinduja, K.K. (2020). Evaluation of electromagnetic intrusion in brushless DC motor drive for electric vehicle applications with manifestation of mitigating the electromagnetic interference. Int. J. Ambient. Energy.
Cited by
13 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献