Parametic Model for Optimization of Battery Capacity and Power Transmitters of On-line Electric Vehicles in Closed/Open Environments
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Parametic Model for Optimization of Battery Capacity and Power Transmitters of On-line Electric Vehicles in Closed/Open Environments
CSEE Journal of Power and Energy SystemsVol. 9, Issue 1, Pages: 185-196(2023)
作者机构:
1. Department of Electrical Engineering, School of Engineering & Applied Sciences (BSEAS), Bahria University,Islamabad,Pakistan
2. Department of Centre for Advanced Electronics and Photovoltaic Engineering (CAEPE), International Islamic University, and School of Interdisciplinary Engineering and Science (SINES), National University of Science and Technology (NUST),Islamabad,Pakistan
Fatima Nisar, Syed Haider, Imtiaz Alam, et al. Parametic Model for Optimization of Battery Capacity and Power Transmitters of On-line Electric Vehicles in Closed/Open Environments[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 185-196.
DOI:
Fatima Nisar, Syed Haider, Imtiaz Alam, et al. Parametic Model for Optimization of Battery Capacity and Power Transmitters of On-line Electric Vehicles in Closed/Open Environments[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1): 185-196.DOI: 10.17775/CSEEJPES.2020.05610.
Parametic Model for Optimization of Battery Capacity and Power Transmitters of On-line Electric Vehicles in Closed/Open Environments
An on-line electric vehicle (OLEV) uses a wireless charging phenomenon
in which power transmitters are installed beneath the road and the OLEV's battery is charged remotely. This paper deals with the optimization of two key economic and design parameters
i.e.
the size of the battery and the power transmitters allocation. A complete model configuration of the OLEV system
including the vehicle design and power transmitter
is implemented using MATLAB/Simulink. The battery's state of charge (SOC) rises and drops according to the vehicle's velocity and power collection and consumption. The mixed integer programming (MIP) model is used for cost calculation. Therefore
with the help of the SOC graph and MIP model
the battery size and the number of power transmitters
along with their placements
are optimized. The proposed model is applicable to both closed and open environments as it accepts both regulated and deregulated velocities. Two test cases are performed for this purpose. The first test case deals with regulated velocity for which we have applied the KAIST campus OLEV's velocity along with its 13 kWh battery size and 4 power transmitters
and then applied the suggested solution with the same velocity and route i.e.
8 power transmitters with shorter lengths and reduced battery size (3.25 kWh; one-fourth of the first case). SOC is found within limits at the end of the route
saving $1600 and validating the proposed model in this paper. For the second test case
we use deregulated velocity and optimize both parameters
using the same approach.
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references
14. “ The 50 best inventions of 2010 ,” Time Magazine, Nov. 2010. [Online ] . Available: http://content.time.com/time/specials/packages/0%28757%2029497%00.html.
16. “You could soon be riding utah? gloriously wireless electric bus,” in Wired Magazine , Oct. 2013. [Online ] . Available: https://www.wired.com/2013/10/utah-ev-bus/.