AI-based Predictive Analytic Approaches for safeguarding the Future of
Electric/Hybrid Vehicles
- URL: http://arxiv.org/abs/2304.13841v1
- Date: Wed, 26 Apr 2023 22:02:11 GMT
- Title: AI-based Predictive Analytic Approaches for safeguarding the Future of
Electric/Hybrid Vehicles
- Authors: Ishan Shivansh Bangroo
- Abstract summary: Electric and hybrid vehicles (EHVs) may help meet the need for ecologically friendly transportation.
AI may improve EHV energy efficiency, emissions reduction, and sustainability.
Remote hijacking, security breaches, and unauthorized access are cybersecurity vulnerabilities addressed.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: In response to the global need for sustainable energy, green technology may
help fight climate change. Before green infrastructure to be easily integrated
into the world's energy system, it needs upgrading. By improving energy
infrastructure and decision-making, artificial intelligence (AI) may help solve
this challenge. EHVs have grown in popularity because to concerns about global
warming and the need for more ecologically friendly transportation. EHVs may
work better with cutting-edge technologies like AI. Electric vehicles (EVs)
reduce greenhouse gas emissions and promote sustainable mobility. Electric
automobiles (EVs) are growing in popularity due to their benefits for climate
change mitigation and sustainable mobility. Unfortunately, EV production
consumes a lot of energy and materials, which may harm nature. EV production is
being improved using green technologies like artificial intelligence and
predictive analysis. Electric and hybrid vehicles (EHVs) may help meet the need
for ecologically friendly transportation. However, the Battery Management
System (BMS) controls EHV performance and longevity. AI may improve EHV energy
efficiency, emissions reduction, and sustainability. Remote hijacking, security
breaches, and unauthorized access are EHV cybersecurity vulnerabilities
addressed in the article. AI research and development may help make
transportation more sustainable, as may optimizing EHVs and charging
infrastructure.
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