Document Type : Research Paper
Abstract
One ofthe challenges facing the mainstream adoption ofEV is related to the infrastructure ofelectric vehicle charging, the pattern ofdemand for energy, and disparities in the availability ofstations in different regions. This paper applies a secondary data analysis methodology through data on recorded EV charging data, world energy reports from Kaggle, and the IEA Global EV Outlook 2024 to examine major trends affecting the adoption of EVs. The results show major disparities in charging infrastructure, as urban areas have it well covered, but it lags for those in the rural and suburban areas, which further enhances range anxiety and constraint of EV penetration. The study's results on the demand pattern show a peak demand between 5 to 8 PM that would be responsible for some form ofcongestion and long waiting times at the charging stations. The trends ofenergy consumption show that the highest utilization rates are achieved through Level 2 and DC Fast Chargers, thus the emphasis on high-traffic location, while Level 1 chargers would most preferably be sited at overnight and workplace charging areas. Comparative insights from some global case studies have underlined the much effectiveness public-private partnerships get in scaling EV infrastructure particularly in those areas where there exists a very strong unified policy framework. The study proposes an upscaling ofthe rural charging network and the introduction ofdynamic pricing strategies in the peakhour congestion management with inspiration drawn from global best practices in the development ofsustainable and scalable EV infrastructure; this would improve efficiency, ensure equity in access, and expedite the transition to sustainable mobility solutions.
