Simulation of the Electrical Control Unit (ECU) in Automated Electric Vehicles for Reliability and Safety Using On-Board Sensors and Internet of Things
subject: Electric Vehicles; Electronic Control Units; energy storage system; Hybrid Electric Vehicles
description: The adaptation of the energy storage system (ESS) with high power and energy density remains a difficulty for electric vehicles (EVs), despite the increasing demand they are experiencing around the world. A lightweight, compact ESS is necessary to deliver the responsive performance and driving range that modern vehicles need. When planning for widespread use of EVs, it's important to give careful attention to the factors of ESS selection, sizing, and administration. One of the most promising future mobility alternatives is the hybrid electric vehicle (HEV), which offers improved fuel economy and lower pollution levels. As a result, one of the most pressing needs is for automakers to develop new technologies for vehicle design that might help lessen emissions and boost economy. The environmental impact of emissions from light-duty cars is growing in tandem with the annual increase in the number of such vehicles on the road. The usage of other modes of transportation, such as ships and planes, is on the rise, but road transportation will always be the most common. Electronic Control Units, or ECUs, have been increasingly commonplace in cars during the past few decades. Vehicle network multicore CPU scheduling is notoriously difficult. This study's findings consist of a straightforward power-sharing control approach for the HESS based on battery and UC, with the goal of extending the battery's useful life in a city environment. 2023 IEEE.
creator: Sunil Kumar M.; Anuradha T.; Srinivas Y.; Santhi Sri T.; Catherine T.J.; Aurelia S.
source: 2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 2023
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-166549360-4
format: Online
language: English
type: Conference paper
coverage: Sunil Kumar M., School of Computing, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College), Department of Computer Science and Engineering, AP, Tirupathi, India; Anuradha T., KCG College of Technology, Department of Electrical and Electronics Engineering, Chennai, India; Srinivas Y., Vignana Bharathi Institute of Technology, Department of ECE, Hyderabad, India; Santhi Sri T., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Guntur, India; Catherine T.J., R.M.K. College of Engineering and Technology, Department of EEE, RSM Nagar, Puduvoyal, India; Aurelia S., CHRIST University, Department of Computer Science, Bangalore, India