Electric Vehicles

Total results returned: 20

Electric Vehicle Design

A Research on Electric Car Styling Design and Low Aerodynamic Drag

This paper takes analyses electric car styling design with a focus on low aerodynamic drag. The design starts with an ideal low-drag shape, and then develops the shape into a car styling.

Audience:
Aerodynamics Researchers, Automotive Engineers, Automotive Industry Professionals, Electric Vehicle Designers, Environmental and Energy Efficiency Experts
Digital Design

A Review of Digital Twin Technology for Electric and Autonomous Vehicles

The aim of this paper is to provide a comprehensive review of the literature from the last five years on the use of digital twin (DT) technology for Intelligent Transportation Systems (ITSs), focusing on electric and autonomous vehicles.

Audience:
5G Connectivity Specialists, Artificial Intelligence Professionals, Autonomous Vehicle Engineers, Battery and Charge Management Engineers, Cybersecurity Experts, Digital Twin Technology Specialists, Electric Vehicle Developers, Intelligent Transportation Systems Researchers, IoT and Big Data Experts, Machine Learning Professionals, Transportation Policy Makers
Digital Design

A Systematic Review of Digital Twins for Electric Vehicles

The study looks at how digital twin technology can be used in smart car systems by looking at its promise and the hurdles faced. Based on a comprehensive literature survey, this is the first in-depth look at how digital twin technology can be used in smart electric cars.

Audience:
Advanced Driver Assistance System Developers, Automotive Engineers, Automotive Sector Business Analysts, Cybersecurity Experts, Digital Twin Researchers, Electric Vehicle Consumers, Electric Vehicle Manufacturers, Electric Vehicle Researchers, IoT and Smart Grid Technology Experts, Software Developers, Sustainable Transportation Solutions Consultants, Transportation Regulators, Urban Planners and Smart City Developers
Digital Design

Application of Digital Twin in Electric Vehicle Powertrain: A Review

The focus of this paper is to conduct a methodical review regarding the use of digital twins in the powertrain of electric vehicles (EVs). While reviewing the development of digital twin technology, its main application scenarios and its use in electric vehicle powertrains are analysed.

Audience:
Automotive Engineers, Automotive Industry Professionals, Digital Twin Researchers, Electric Vehicle Powertrain Developers, Power Electronics Specialists, Smart Manufacturing Professionals
User-Centric Interiors

Automotive Interior Design in the Age of Electric Vehicles: User Interface Expectations, Perceptions and Preferences

This study explores consumer preferences and acceptance of EV user interfaces (UIs), focusing on expectations, perceptions and preferences of aesthetics, design, function, and features.

Audience:
Academic Researchers, Automotive Engineers, Automotive Manufacturers, Automotive UI Designers, Consumer Behaviour Specialists, Design Students, Electric Vehicle Drivers, Electric Vehicle Market Researchers, Human-Computer Interaction Researchers, Human-Machine Interface Engineers, In-vehicle Technology Developers, Market Analysts, Transportation Sector Analysts, User Experience Designers
Methods, Tools & Processes for Circular Economy

Circular Economy Strategies for Permanent Magnet Motors in Electric Vehicles: Application of SWOT

This study identifies and examines circular scenarios within the permanent magnet motor industry and provides planning strategies for PM motor recycling. The study adopted a two-stage research design, including exploration and evaluation phases and a SWOT analysis.

Audience:
Automotive Suppliers, Electric Vehicle Manufacturers, Electric Vehicle Owners, Environmental Advocacy Groups, Environmental Protection Agencies, Financial Analysts, Non-Governmental Organizations, Public Transportation Agencies, Recycling Industry, Research Centres, Sustainability Investors, Universities
Electric Vehicle Operations

Data-Driven Approaches to Battery Health Monitoring in Electric Vehicles Using Machine Learning

This article explores battery health monitoring in electric vehicles (EVs) using machine learning to address challenges in battery durability and enable new business models.

Audience:
Electric Vehicle Manufacturers, Electric Vehicle Owners and Consumers, Energy and Utility Companies, Fleet Managers and Operators, Government and Regulatory Bodies, Researchers
EV Product Marketplaces

Denso

DENSO Corporation, based in Japan, is a global leader in automotive technology and components.

Audience:
Automotive Manufacturers, Automotive Suppliers, Electric Vehicle Producers, Energy and Infrastructure Companies, Government And Regulatory Agencies, Government and Regulatory Bodies, Logistics and Fleet Management Companies, Research And Development Institutions, Technology and Mobility Startups
Digital Design

Digital twin enabled transition towards the smart electric vehicle charging infrastructure: A review

This study presents a smart EV charging infrastructure framework composed of a green power generation network, an energy storage network, and a charging network.

Audience:
Consultants in Sustainable Transportation Solutions, Digital Twin Researchers, Electric Vehicle Researchers, Policy Makers in Energy and Transportation, Smart Grid Infrastructure Developers
Electric Vehicle Design

Electric Vehicle Design, Modelling and Optimization

In this paper a new design model of the electric vehicle is presented. This model is based on the combination of Modelica with ModelCenter. Modelica has been used to model and simulate the electric vehicle and ModelCenter has been used to optimize the design variables.

Audience:
Automotive Designers, Automotive Engineers, Electric Vehicle Manufacturers, Environmental Policy Makers, Researchers in Automotive Technology, Simulation and Modelling Professionals