Driving the Future: Utilizing Software Foundations to Improve Vehicles Functionalities

Software engineering plays crucial systems shaper role, in the modern electric mobility advances. We investigate impacts of software-related strategies in industry 4.0 electric mobility era. Impacts of software-defined vehicles for the automobile industry future are covered with core contribution on discussion the mobile applications and solutions from manufacturers and 3rd parties. We explore Application Programming Interfaces (APIs) in electric mobility and also their roles in terms of a seamless user experience. We cover integration and contributions of software engineering techniques to the phenomenon, including: blockchain, Machine Learning, and deep learning in terms of solutions to solve problems related to electric vehicle batteries and charging station-related matters. And last, barriers of user adoption are discussed with development areas for software-based features. Study concludes with in-depth view of the relationship between software and electric mobility future research opportunities.

Authors

Institutions

Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/iceccme62383.2024.10796847
Citations
2
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Driving the Future: Utilizing Software Foundations to Improve Vehicles Functionalities

Lasse Metso, Kameswara Satya Prakash Oruganti, Ari Happonen, Amitav Swapnil
2 citations
Real-time simulation and control systems
0.66
article

Driving the Future: Utilizing Software Foundations to Improve Vehicles Functionalities

Lasse Metso, Kameswara Satya Prakash Oruganti, Ari Happonen, Amitav Swapnil
article en
2 citations

Abstract

Software engineering plays crucial systems shaper role, in the modern electric mobility advances. We investigate impacts of software-related strategies in industry 4.0 electric mobility era. Impacts of software-defined vehicles for the automobile industry future are covered with core contribution on discussion the mobile applications and solutions from manufacturers and 3rd parties. We explore Application Programming Interfaces (APIs) in electric mobility and also their roles in terms of a seamless user experience. We cover integration and contributions of software engineering techniques to the phenomenon, including: blockchain, Machine Learning, and deep learning in terms of solutions to solve problems related to electric vehicle batteries and charging station-related matters. And last, barriers of user adoption are discussed with development areas for software-based features. Study concludes with in-depth view of the relationship between software and electric mobility future research opportunities.

Taylor's University (MY), Lappeenranta-Lahti University of Technology (FI)
European Commission
Openalex Percentile: Top 28%
Real-time simulation and control systems
0.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.