Hybrid research platform for fundamental and empirical modeling and analysis of energy management of shared electric vehicles

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Abstract

This article presents the results of the development of a hybrid research platform for fundamental and empirical modeling and analysis of energy management of shared electric vehicles. The article describes the hybrid model and its specific features in detail. Within the model architecture, a part of the fundamental model, empirical model and data collection tools were interconnected. The uniqueness lies in the models of electric cars created for a specific vehicle using cost-optimal parameterizations, as well as the implementation of a cloud solution, which is based on custom data communication, custom data logger and cost-optimized parameterization of machine learning algorithms. Experimental verification was performed on a real electric car in public traffic. The car is part of casharing platform.

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digital evaluation model, driving resistances, electric vehicle consumption, electric vehicle range, EV modeling and simulation, machine learning, model predictive control, optimization

Citation

Energies. 2022, vol. 15, issue 4, art. no. 1300.