Photovoltaic Electric Scooter Charger Dock for the Development of Sustainable Mobility in Urban Environments

[EN] Means and modes of transport in urban environments are changing. The emergence of new means of personal transport, such as e-scooters or e-bikes, combined with new concepts such as `vehicle sharing' are changing urban transport. A greater social awareness of the harmful effects of polluting gases is leading to the adoption of new e-mobility solutions. A sustainable e-scooter recharging dock has been designed, built, and put into operation in a small town north of the city of Valencia (Spain). In the proposed novel solution, a stand-alone PV system is built for the free recharge of e-scooters using an original system that supports new sustainable means of transport. The design of the PV system considers the size limitations of the equipment, where a single PV module must generate the energy needed to recharge the e-scooters. A battery is used to store the energy and adjust power generation and consumption profiles. A commercial electronic converter adjusts the various electrical characteristics of generation, storage, and consumption. As a result of the system analysis, the surplus autonomy provided for the e-scooter recharging dock is calculated. Potential stakeholders in the use of the proposed system and their reasons for adopting this sustainable solution are identified. Experimental results of the first months of operation are included and these demonstrate the correct operation of the proposed system.Martinez-Navarro, A.; Cloquell Ballester, VA.; Segui-Chilet, S. (2020). Photovoltaic Electric Scooter Charger Dock for the Development of Sustainable Mobility in Urban Environments. IEEE Access. 8:169486-169495. https://doi.org/10.1109/ACCESS.2020.3023881S169486169495

Research on micro-mobility with a focus on electric scooters within Smart Cities

In the context of the COVID-19 pandemic, an increasing number of people prefer individual single-track vehicles for urban transport. Long-range super-lightweight small electric vehicles are preferred due to the rising cost of electricity. It is difficult for new researchers and experts to obtain information on the current state of solutions in addressing the issues described within the Smart Cities platform. The research on the current state of the development of long-range super-lightweight small electric vehicles for intergenerational urban E-mobility using intelligent infrastructure within Smart Cities was carried out with the prospect of using the information learned in a pilot study. The study will be applied to resolving the traffic service of the Poruba city district within the statutory city of Ostrava in the Czech Republic. The main reason for choosing this urban district is the fact that it has the largest concentration of secondary schools and is the seat of the VSB-Technical University of Ostrava. The project investigators see secondary and university students as the main target group of users of micro-mobility devices based on super-lightweight and small electric vehicles.Web of Science1310art. no. 17

Data driven techniques for on-board performance estimation and prediction in vehicular applications.

L'abstract è presente nell'allegato / the abstract is in the attachmen

Optimal Assignment of e-scooter to Chargers

Traffic congestion is a daily problem facing commuters in dense cities. This problem is getting worse with the rapid growth of cities' population and migration from rural to urban areas. Recently, electric dock-less scooters have emerged as a micro mobility mode and as a potential solution for large crowded cities with limited resources. However, a question of how to charge these e-scooters has been raised. Many e-scooter companies use freelancers to charge the scooter where they compete to collect and charge the e-scooters at their homes. This competition leads the chargers to travel long distances to collect e-scooters.In this paper, we developed a mixed integer linear programming (MILP) model to solve the E-Scooter-Chargers Allocation problem. The proposed model allocates the e-scooters to the chargers with a particular emphasis on minimising the chargers' average travelled distance to collect the e-scooters. Moreover, we modelled the charging problem as a game between two sets of disjoint players, namely e-scooters and chargers. Then we adapted the college admission algorithm (ACA) to solve the assignment problem. For the sake of comparison, we adapted the black hole optimiser (BHO) to solve this problem. The experimental results showed that ACA solutions are close to the optimal solutions found by the MILP. Furthermore, the BHO solutions are not as good as the ACA solutions. So, we recommend using the ACA to find a good solution for very large instances where MILP needs a long time to find the optimal solution.</p