An industry 4.0 approach to electric vehicles-Reference-Cited by-同舟云学术

An industry 4.0 approach to electric vehicles

Published:2022-05-29 Issue:2 Volume:36 Page:334-348
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Athanasopoulou Lydia¹,Bikas Harry¹,Papacharalampopoulos Alexios¹,Stavropoulos Panos¹,Chryssolouris George¹^ORCID

Affiliation:

1. Laboratory for Manufacturing Systems and Automation, Department of Mechanical and Aeronautics Engineering, University of Patras, Rio Patras, Greece

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2022.2081363

Reference67 articles.

1. Configuration, design, and optimization of air-cooled battery thermal management system for electric vehicles: A review

2. Roadmapping In the Corporation

3. Architecture and development of an Industrial Internet of Things framework for realizing services in Industrial Product Service Systems

4. A Review of Optimal Charging Strategy for Electric Vehicles under Dynamic Pricing Schemes in the Distribution Charging Network

5. Product service system: A conceptual framework from a systematic review

Cited by 18 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

1. Performance evaluation of MPPT algorithm of VIPV systems in realistic urban routes using image processing;Solar Energy Materials and Solar Cells;2024-10

2. Proposal of a Classification Method for Brazilian Automotive Companies Using the Principal Components Analysis;2024-09-10

3. Decoding the patterns of critical factor associations driving electric vehicle recommendations;Transportation Research Part A: Policy and Practice;2024-09

4. Navigating the complex realities of electric vehicle adoption: A comprehensive study of government strategies, policies, and incentives;Energy Strategy Reviews;2024-05

5. Adaptive Neuro-fuzzy Inference System-Based Data-Driven Model for Optimal Recharging of Electric Vehicles and Cost Prediction in Energy Hubs;Arabian Journal for Science and Engineering;2024-04-30