An Advanced Ultracapacitor SOC Concept to Increase Battery Life Span of Electric Vehicles

Q4 Engineering
Vijay Kumar, V. Jain
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引用次数: 0

Abstract

The lifecycle of the battery is mostly exaggerated by the overall energy throughput speed, accumulated heat, and rapid utilization. The adequate utilization and operation of the battery are improved in the flexibility range by the permutation of the battery and the ultracapacitor in the electric vehicle. The overall system performance is determined by the energy management system which plays a significant part in dual-energy storage systems. The major intent of this research is to enhance the performance of electric vehicles which is achieved by maintaining the charge of depleting and charge of sustaining level in the battery and the state of charge in the ultracapacitor. The proposed method controls the state of charge of the battery and the ultracapacitor to make sure the availability of charge throughout the complete settling rate of the battery in the electric vehicle. To attain this condition, the dual converter-based two-stage Artificial Neural Network is initialized. In the first stage of the Artificial Neural Network, the charge sustained in the ultracapacitor is controlled during acceleration which completely depends on the velocity of the vehicles. In contrast to that, in the second stage of the Artificial Neural Network, charge depleting in the UC is trained by connectionless with varying vehicle velocities at deceleration rates. The production and investigation of parameters are not effectively optimized using conventional methods hence the herding and howling characters are combined together and proposed energetic and problem-solving optimization-based metaheuristic algorithm that efficiently tunes the parameters. The SOC rate of the battery for three driving cycles using the proposed method follows FTP75 71.309% at 2474th s and J1015 attained 90.840% at 660th s and the UDDS attained 81.647%. The SOC rate of the Ultracapacitor for three driving cycles using the proposed method follows FTP75 63.518% at 2474 s, J1015 attained 69.332% at 660 s and UDDs attained 67.049%. The experimental arrangement is executed in MATLAB-Simulink. The state of charge of the battery and the ultracapacitors for the varying drive cycles as FTP75, J1015, and UDDS are experimentally validated and verified with the prevailing methods. The developed method reveals better performance for enhancing the lifespan of the power storeroom system in electric vehicles.
一种先进的超级电容器SOC概念,以提高电动汽车的电池寿命
电池的生命周期主要由整体能量吞吐速度、累积热量和快速利用来夸大。通过电池与超级电容器在电动汽车中的排列,在柔性范围内提高了电池的充分利用和运行。能量管理系统是双能量存储系统的重要组成部分,它决定了系统的整体性能。本研究的主要目的是提高电动汽车的性能,这是通过保持电池的耗尽电量和维持电量以及超级电容器的充电状态来实现的。该方法通过对电池和超级电容器的充电状态进行控制,以保证在电动汽车电池完全充电的整个过程中充电的可用性。为达到此条件,对基于双变流器的两级人工神经网络进行了初始化。在人工神经网络的第一阶段,在加速过程中控制超级电容器的持续电量,这完全取决于车辆的速度。与此相反,在人工神经网络的第二阶段,UC中的电荷消耗是通过无连接的方式训练的,并且在减速速率下具有不同的车辆速度。由于传统方法不能有效地优化参数的产生和调查,因此将放牧和嚎叫特征结合在一起,提出了基于能量和问题求解优化的元启发式算法,有效地调整参数。采用该方法进行三次循环的电池荷电率分别为:FTP75在2474秒时达到71.309%,J1015在660秒时达到90.840%,UDDS达到81.647%。采用该方法的3个驱动周期下,FTP75在2474秒时的SOC率为63.518%,J1015在660秒时的SOC率为69.332%,UDDs的SOC率为67.049%。实验安排在MATLAB-Simulink中进行。实验验证了FTP75、J1015和UDDS等不同驱动周期下电池和超级电容器的充电状态,并采用常用方法进行了验证。该方法对提高电动汽车动力库系统的使用寿命具有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of High Speed Electronics and Systems
International Journal of High Speed Electronics and Systems Engineering-Electrical and Electronic Engineering
CiteScore
0.60
自引率
0.00%
发文量
22
期刊介绍: Launched in 1990, the International Journal of High Speed Electronics and Systems (IJHSES) has served graduate students and those in R&D, managerial and marketing positions by giving state-of-the-art data, and the latest research trends. Its main charter is to promote engineering education by advancing interdisciplinary science between electronics and systems and to explore high speed technology in photonics and electronics. IJHSES, a quarterly journal, continues to feature a broad coverage of topics relating to high speed or high performance devices, circuits and systems.
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