We develop a model to optimize the location of public fast charging stations for electric vehicles (EVs). A difficulty in planning the placement of charging stations is uncertainty in where EV charging demands appear. For this reason, we use a stochastic flow-capturing location model (SFCLM). A sample-average approximation method and an averaged two-replication procedure are used to solve the p...

DC fast charging (DCFC) and optimal placing of them is a fundamental factor for the popularization of electric vehicles (EVs). This paper proposes an approach to optimize place and size of charging stations based on genetic algorithm (GA). Target of this method is minimizing cost of conversion of gas stations to charging stations. Another considered issue is minimizing EVs losses to find neares...

Electric taxis are playing an important role in the application of electric vehicles. The actual operational data of electric taxis in Shenzhen, China, is analyzed, and, in allusion to the unbalanced time availability of the charging station equipment, the electric taxis charging guidance system is proposed basing on the charging station information and vehicle information. An electric taxis ch...

Electric vehicles (EVs) have been gaining popularity due to their environmental friendliness and efficiency. EV charging station networks are scalable solutions for supporting increasing numbers of EVs within modern electric grid constraints, yet few tools exist to aid the physical configuration design of new networks. We use neural networks to predict individual charging station usage statisti...

The rapid emergence of electric vehicles (EVs) demands an advanced infrastructure of publicly accessible charging stations that provide efficient charging services. In this paper, we propose a new charging station operation mechanism, the JoAP, which jointly optimizes the EV admission control, pricing, and charging scheduling to maximize the charging station’s profit. More specifically, by intr...

Electrified shared mobility services need to handle charging infrastructure planning and manage their daily operations minimize total operation time cost. However, existing studies tend address these problems separately. A new online vehicle-charging assignment model is proposed integrated into the fast location problem for dynamic ridesharing using electric vehicles. The latter formulated as a...

Open Charge Point Protocol (OCPP) is a widely used open communication protocol between a charging station and its managing network system. The central promising idea of the OCPP is that it is an open standard, which provides a standardized communication language with the flexibility of giving charging station owners right to switch network providers at their own will. This paper investigates th...

One of the most critical barriers to widespread adoption of electric cars is the lack of charging station infrastructure. Although it is expected that a sufficient number of charging stations will be constructed eventually, due to various practical reasons they may have to be introduced gradually over time. In this paper, we formulate a multi-period optimization model based on a flow-refueling ...

This research analyses the operation of a solar PV powered electric vehicle charging station with energy storage that has been developed and demonstrated at the University of California – Davis, West Village, the largest planned zero-energy consumption community in the U.S. The intelligent energy management approach introduces solar PV electrical energy forecasting and EV charging demand projec...

Due to the environmental impact of fossil fuels and high variability in their prices, there is rising interest in adopting electric vehicles (EVs) by both individuals and governments. Despite the advances in vehicle efficiency and battery capacity, a key hurdle is the inherent interdependence between EV adoption and charging station deployment–EV adoption (and hence, charging demand) increases ...