Abstract
Hybrid and fully electric vehicles (EV’s) have been drawing the attention of consumers and manufacturers due to the increase in fuel prices, the environmental impact that the burning of fossil fuels causes and the low volume of maintenance that vehicles in this category present. However, there are some issues that still keep consumers away from this type of vehicle, among them is the sales value, which is still much higher compared to combustion models (impacted by the cost of components such as batteries and other related items) and, the battery recharge time, which in the best case scenario, can take around 30 min, which is much higher than the time it takes to refuel a combustion vehicle. The scenario presented, where the driver needs to wait a certain period for the recharge of his EV’s, presents a business opportunity where personalized products and services can be offered through data sharing. In this work, the architecture of a platform is proposed, which allows the connection between the driver and companies interested in offering personalized services while he waits for the electric vehicle to be recharged. The architecture in question is based on the concept of web 3.0 where the driver has full control over the data that will be shared, unlike other architectures where user data is centralized and under the domain of companies with no guarantee of security, traceability, or immutability of this information.
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Martin, M.R., Hessel, F. (2023). A Decentralized Architecture for Electric Vehicle Charging Platform. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 655. Springer, Cham. https://doi.org/10.1007/978-3-031-28694-0_34
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DOI: https://doi.org/10.1007/978-3-031-28694-0_34
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