scholarly journals An Optimization Model for the Temporary Locations of Mobile Charging Stations

Mathematics ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 453 ◽  
Author(s):  
Maria-Simona Răboacă ◽  
Irina Băncescu ◽  
Vasile Preda ◽  
Nicu Bizon
Keyword(s):  
Heavy Traffic ◽  
Mobile Station ◽  
Operating Costs ◽  
Operational Mode ◽  
Mean Response Time ◽  
Charging Station ◽  
Charging Time ◽  
Range Anxiety ◽  
Minimum Number ◽  
Charging Stations

A possible solution with which to alleviate the range anxiety of electric vehicle (EV) drivers could be a mobile charging station which moves in different places to charge EVs, having a charging time of even half an hour. A problem that arises is the impossibility of charging in any location due to heavy traffic or limited space constraints. This paper proposes a new operational mode for the mobile charging station through temporarily stationing it at different places for certain amounts of time. A mathematical model, in the form of an optimization problem, is built by modeling the mobile charging station as a queuing process, the goal of the problem being to place a minimum number of temporary service centers (which may have one or more mobile charging stations) to minimize operating costs and the charger capacity of the mobile charging station so that the service offered is efficient. The temporary locations obtained are in areas with no or few fixed charging stations, making the mobile station infrastructure complementary to the fixed charging station infrastructure. The temporary location operational mode, compared to current moving operational mode, is more efficient, having a small miss ratio, short mean response time and short mean queuing time.

scholarly journals A smart management system of electric vehicles charging plans on the highway charging stations

2021 ◽  
Vol 23 (2) ◽  
pp. 752
Author(s):  
Ibrahim El-Fedany ◽  
Driss Kiouach ◽  
Rachid Alaoui
Keyword(s):  
Electric Vehicles ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Long Distance ◽  
Smart Transportation ◽  
Charging Station ◽  
Charging Time ◽  
Trip Time ◽  
Automatic Mechanism ◽  
Charging Stations

Electric vehicles (EVs) are seen as one of the principal pillars of smart transportation to relieve the airborne pollution induced by fossil CO2 emissions. However, the battery limit, especially where the journey is with a long-distance road remains the most formidable obstacle to the large-scale use of EVs. To overcome the issue of prolonged waiting charging time due to the large number of EVs may have a charging plan at the same charging station (CS) along the highway, we propose a communication system to manage the EVs charging demands. The architecture system contains a smart scheduling algorithm to minimize trip time including waiting time, previous reservations and energyare needed to reach the destination. Moreover, an automatic mechanism for updating reservation is integrated to adjust the EVs charging plans. The results of the evaluation under the Moroccan highway scenario connecting Rabat and Agadir show the effectiveness of our proposal system.<br /><div> </div>

Battery Swapping Station

2022 ◽  
pp. 195-207
Author(s):  
Furkan Ahmad ◽  
Essam A. Al-Ammar ◽  
Ibrahim Alsaidan
Keyword(s):  
Distributed Storage ◽  
Spinning Reserve ◽  
Vehicle To Grid ◽  
Charging Station ◽  
Charging Time ◽  
Smart Charging ◽  
Challenges And Opportunities ◽  
Range Anxiety ◽  
Art Research ◽  
Ev Charging

State-of-the-art research to solve the grid congestion due to EVs is focused on smart charging and using (centralized, de-centralized, vehicle-to-grid) stationery energy storage as a buffer between times of peak and off-peak demand. On the other hand, the charging of EVs introduces new challenges and opportunities. This can prove to be beneficial for the EV aggregator as well as to consumers, regarding the economy. Also, EV as distributed storage makes the grid more steady, secure, and resilient by regulating frequency and the spinning reserve as backup power. However, the charging time and range anxiety lead to peak challenges for the use of EVs. In this chapter battery swapping station (BSS) as solution to the EV charging station is discussed.

scholarly journals A multi-factor GIS method to identify optimal geographic locations for electric vehicle (EV) charging stations

2018 ◽  
Vol 1 ◽  
pp. 1-6 ◽  
Author(s):  
Yongqin Zhang ◽  
Kory Iman
Keyword(s):  
Electric Vehicle ◽  
Hot Spot ◽  
The United States ◽  
Complex Problem ◽  
Geographic Locations ◽  
Charging System ◽  
Charging Station ◽  
Range Anxiety ◽  
Charging Stations ◽  
Ev Charging

Fuel-based transportation is one of the major contributors to poor air quality in the United States. Electric Vehicle (EV) is potentially the cleanest transportation technology to our environment. This research developed a spatial suitability model to identify optimal geographic locations for installing EV charging stations for travelling public. The model takes into account a variety of positive and negative factors to identify prime locations for installing EV charging stations in Wasatch Front, Utah, where automobile emission causes severe air pollution due to atmospheric inversion condition near the valley floor. A walkable factor grid was created to store index scores from input factor layers to determine prime locations. 27 input factors including land use, demographics, employment centers etc. were analyzed. Each factor layer was analyzed to produce a summary statistic table to determine the site suitability. Potential locations that exhibit high EV charging usage were identified and scored. A hot spot map was created to demonstrate high, moderate, and low suitability areas for installing EV charging stations. A spatially well distributed EV charging system was then developed, aiming to reduce “range anxiety” from traveling public. This spatial methodology addresses the complex problem of locating and establishing a robust EV charging station infrastructure for decision makers to build a clean transportation infrastructure, and eventually improve environment pollution.

scholarly journals Futuristic model of electric vehicle charging queues

2021 ◽  
Author(s):  
Hesam Akbari
Keyword(s):  
Quality Of Services ◽  
Charging Station ◽  
Queuing Models ◽  
Electric Vehicle Charging ◽  
Driving Cycles ◽  
Charging Time ◽  
Driving Range ◽  
Charging Stations

The use of PEVs (Plug-in Electric Vehicles) is fast expanding due to their low energy cost and low environmental pollution. However, a big hurdle is that PEVs have a short driving range and long battery charging time even when using supercharging stations. There- fore, better queuing models are necessary to improve the quality of services using public charging stations. This thesis develops an approach for estimating various discharging profiles of PEV batteries considering different regional driving cycles. Each driving cycle generates a unique discharging profile. These discharging profiles were employed in a computer model to study recharging process of PEVs in public charging stations. More- over, a unique utility function is construed which is optimized to minimize the overall waiting time for consumers and harmonize the queue size in each charging station. This model uses Toronto downtown area as a case study.

scholarly journals Optimization and Coordination of Electric Vehicle Charging Process for Long-Distance Trips

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 4054
Author(s):  
Jean Hassler ◽  
Zlatina Dimitrova ◽  
Marc Petit ◽  
Philippe Dessante
Keyword(s):  
Large Scale ◽  
Heavy Traffic ◽  
Limited Range ◽  
Long Distance ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Battery Capacity ◽  
Fast Charging ◽  
Vehicle To Infrastructure ◽  
Charging Stations

Battery electric vehicles offer many advantages in terms of performance and zero-emission pollutants, but their limited range for long-distance trips compromises their large-scale market penetration. The problem of range can be solved with a dense network of fast-charging stations and an increase in embedded battery capacity. Simultaneously, improvements in high-power charging point units offer range gains of hundreds of kilometers in a mere 20 min. One risk remains: The travel time depends on the availability of charging stations, which can drop during rush hours, due to long queues, or power grid constraints. These situations could significantly affect the user experience. In this paper, we presented an approach to coordinate EV charging station choices in the case of long-distance trips. This system relies on vehicle-to-infrastructure communications (V2X). The objective is to enhance the use of the infrastructure by improving the distribution of vehicles between the different charging stations, thus reducing waiting time. Our target is to build an efficient and easily deployable system. The performance of this system is compared to an uncoordinated situation and an offline optimization. We conducted a case study on a 550-km highway with heavy traffic. With this system, the results showed a 10% reduction in time spent in charging stations.

scholarly journals System architecture to select the charging station by optimizing the travel time considering the destination of electric vehicle drivers in smart cities

2020 ◽  
Vol 9 (1) ◽  
pp. 273-283
Author(s):  
Ibrahim El-fedany ◽  
Driss Kiouach ◽  
Rachid Alaoui
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Smart Cities ◽  
Time Of Arrival ◽  
Advance Reservation ◽  
The Road ◽  
Charging Station ◽  
Charging Time ◽  
On The Road ◽  
Charging Stations

The main limitations of electric vehicles are the limited scope of the battery and their relatively long charging times. This may cause discomfort to drivers of electric vehicles due to a long waiting period at the service of the charging station, during their trips. In this paper, we suggest a model system based on argorithms, allowing the management of charging plans of electric vehicles to travel on the road to their destination in order to minimize the duration of the drivers' journey. The proposed system decision to select the charging station, during advance reservation of electric vehicles, take into account the time of arrival of electric vehicles at charging stations, the expected charging time at charging stations, the local status of the charging stations in real time, and the amount of energy sufficient for the electric vehicle to arrive at the selected charging station. Furthermore, the system periodically updates the electric vehicule reservations to adjust their recharge plans, when they reach their selected earlier station compared to other vehicules requesting new reservations, or they may not arrive as they were forecast, due to traffic jams on the road or certain reluctance on the part of the driver.

scholarly journals THE IMPORTANCE OF PUBLIC-FUNDED CHARGING STATIONS TO INCREASE THE RATE OF ELECTRIC VEHICLE (EV) OWNERSHIP IN INDONESIA

2021 ◽  
Vol 22 (1) ◽  
pp. 78-91
Author(s):  
Faiz Rafiza Ahmadani ◽  
Rafi Aquary
Keyword(s):  
Electric Vehicle ◽  
Hand Position ◽  
Publicly Funded ◽  
The Public ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Range Anxiety ◽  
The Government ◽  
Charging Stations ◽  
Ev Charging

The current surplus of electricity across Indonesia has further underlined many opportunities to optimize the usage of electricity in many sectors; including on the issue of Electric Vehicle (EV) ownership within the country. According to the government’s projection, the state-owned enterprise (SOE) of PLN would construct 254.181 units of charging stations by 2030. However, there exists the problem of ‘chicken and egg’; in which more EV charging stations would be required to spur EV sales and vice versa. In addition to that, the lack of charging stations has also led to the disinterest from the public to purchase EVs due to fear of range anxiety. Hence, this paper is written to address the importance of publicly funded charging stations in Indonesia to help cultivate EV development within the country. Not only that, since Indonesia is the largest member country of ASEAN, it could be the ‘trendsetter’ of this issue in the region and would have the upper hand position as an early adopter. Our hypotheses suggest that not only publicly funded the development of charging stations would be beneficial to the future-buyer of EV, but also for the government itself.     Keywords: Electric Vehicle, Charging Station, Public-Funded, Range Anxiety   

scholarly journals Real-Time Forecasting of EV Charging Station Scheduling for Smart Energy Systems

2017 ◽  
Author(s):  
Bharatiraja Chokkalingam ◽  
Sanjeevikumar Padmanaban ◽  
Pierluigi Siano ◽  
Ramesh Krishnamoorthy ◽  
Raghu Selvaraj
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Waiting Times ◽  
Data Communication ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Smart Energy Systems ◽  
Range Anxiety ◽  
Charging Stations ◽  
Scheduling Management

The enormous growth in the penetration of electric vehicles (EVs), has laid the path to advancements in the charging infrastructure. Connectivity between charging stations is an essential prerequisite for future EV adoption to alleviate users&rsquo; &ldquo;range anxiety&rdquo;. The existing charging stations fail to adopt power provision allocation and scheduling management. To improve the existing charging infrastructure data based on real-time information and availability of reserves at charging stations could be uploaded to the users to help them locate the nearest charging station for an EV. This research article focuses on an a interactive user application developed through SQL and PHP platform to allocate the charging slots based on estimated battery parameters, which uses data communication with charging stations to receive the slot availability information. The proposed server-based real-time forecast charging infrastructure avoids waiting times and its scheduling management efficiently prevents the EV from halting on road due to battery drain out. The proposed model is implemented using a low-cost microcontroller and the system etiquette tested.

scholarly journals Futuristic model of electric vehicle charging queues

2021 ◽  
Author(s):  
Hesam Akbari
Keyword(s):  
Quality Of Services ◽  
Charging Station ◽  
Queuing Models ◽  
Electric Vehicle Charging ◽  
Driving Cycles ◽  
Charging Time ◽  
Driving Range ◽  
Charging Stations

The use of PEVs (Plug-in Electric Vehicles) is fast expanding due to their low energy cost and low environmental pollution. However, a big hurdle is that PEVs have a short driving range and long battery charging time even when using supercharging stations. There- fore, better queuing models are necessary to improve the quality of services using public charging stations. This thesis develops an approach for estimating various discharging profiles of PEV batteries considering different regional driving cycles. Each driving cycle generates a unique discharging profile. These discharging profiles were employed in a computer model to study recharging process of PEVs in public charging stations. More- over, a unique utility function is construed which is optimized to minimize the overall waiting time for consumers and harmonize the queue size in each charging station. This model uses Toronto downtown area as a case study.

Novel Cruise Speed Highway Charging of Electric Vehicles in India

2015 ◽  
Vol 5 (2) ◽  
Author(s):  
Bharat Raj Singh ◽  
Manoj Kumar Singh
Keyword(s):  
Electric Vehicles ◽  
Urban Areas ◽  
Combustion Engine ◽  
Charging Station ◽  
Range Anxiety ◽  
Long Time ◽  
Level 3 ◽  
Battery Technology ◽  
Commercial Station ◽  
Charging Stations

The utility of all-electric automobiles is limited by various factors. The most important one is the 'range anxiety'; this is a severe limitation on the adoption rates of battery electric vehicles (BEV). There is a periodic need to stop and re-charge or replace the batteries after traveling a relatively short distance. The long time needed to recharge the depleted battery usually necessitates exchanging the battery for a different one at each charging stop, similar to changing horses on a 19th century Stage Coach. Today three levels of recharging are available. Level 1 is using a home electrical system, taking roughly 8 hours to recharge the batteries after depletion at maximum range. Level 2 is charging from a commercial station, taking about 2 hours. Level 3 is high-current charging, which can complete the charging process in 30 minutes. Even Level 3 compares quite unfavorably to the 5 to 10 minutes needed to refill an automobile gasoline tank. Moreover, charging stations are not widely available outside major urban areas. for a few hours at highway speeds, are quite prohibitive. Obviously, these are major obstacles in increasing the market viability of electric automobiles. The issue addressed in this paper is an approach using emerging technologies to overcome the limitations of a BEV. With the current battery technology, the mass and volume needed to carry enough charge to travel. We address these issues by looking at the feasibility of charging automobiles while they are traveling at highway speeds. If this system is implemented, a BEV's effective range could be increased to match the range of an internal combustion engine (ICE) vehicle. This would imply that BEVs would be suitable for intercity highway travel, with the assurance of power being available on the go. We developed a model to optimize the number of wireless charging stations required depending on various factors. This model is discussed in detail later in the paper. As seen below, the requirement boils down to delivering roughly 1 kWh per charging station, while the automobile is moving at highway cruise speeds.

Sign in / Sign up

Export Citation Format

Share Document