scholarly journals Economic Analysis of Potential Secondary Use of Batteries from Electric Vehicles

2021 ◽  
Vol 11 (9) ◽  
pp. 3834
Author(s):  
Jozef Živčák ◽  
Jaroslava Kádárová ◽  
Michaela Kočišová ◽  
Laura Lachvajderová ◽  
Michal Puškár

This article focuses on the practical use of used batteries from electric vehicles also known as 2nd life batteries. The first part emphasizes lithium batteries, which describes the overall life cycle of the battery, its number of charging cycles and secondary use. This part of the article also focuses on implemented projects of 2nd life batteries from electric vehicles and there is an analysis of the market potential for 2nd life batteries mentioned at the end of the chapter. The second part of this study offers a practical proposition of two possible strategies for using 2nd life batteries. The main source of income in both cases is the provision of regulatory energy. Using the formulas and the function of the calculation model created in the MS Excel software, the appropriate price of the battery for car manufacturers will be calculated and from other possible scenarios of individual strategies will be expressed. The first strategy works with large central battery storage and the second strategy uses small, decentralized battery storage with a fast-charging station.

2019 ◽  
Vol 5 (1) ◽  
pp. 215-225 ◽  
Author(s):  
Emin Ucer ◽  
Isil Koyuncu ◽  
Mithat C. Kisacikoglu ◽  
Mesut Yavuz ◽  
Andrew Meintz ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5095 ◽  
Author(s):  
Abdulla Al Wahedi ◽  
Yusuf Bicer

E-Mobility deployment has attained increased interest during recent years in various countries all over the world. This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. To secure the electricity required to satisfy Electric Vehicles’ (EVs’) charging needs without expanding or overloading the existing electricity infrastructure, stand-alone charging stations powered by renewable sources are considered as a reasonable solution. This paper investigates the simulation of the optimal energy management of a proposed grid-independent, multi-generation, fast-charging station in the State of Qatar, which comprises hybrid wind, solar and biofuel systems along with ammonia, hydrogen and battery storage units. The study aims to assess the optimal sizing of the solar, wind and biofuel units to be incorporated in the design along with the optimal ammonia, hydrogen and battery storage capacities to fulfill the daily EV demand in an uninterruptable manner. The main objective is to fast-charge a minimum of 50 EVs daily, while the constraints are the intermittent and volatile nature of renewable energy sources, the stochastic nature of EV demand, local meteorological conditions and land space limitations. The results show that the selection of a 468 kWp concentrated photovoltaic thermal plant, 250 kW-rated wind turbine, 10 kW biodiesel power generator unit and 595 kWh battery storage system, along with the on-site production of hydrogen and ammonia, to generate 200 kW power via fuel cells can achieve the desired target, with a total halt of on-site hydrogen and ammonia production during October and November and 50% reduction during December.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2979
Author(s):  
Simon Steinschaden ◽  
José Baptista

One important goal of the climate commitment in the European Union (EU) is to reduce primary energy demand in the transport sector and increase the use of renewables, since around 33% of primary energy is consumed in this sector. Therefore, the EU ordered its member states to raise the number of electric vehicles (EVs) within Europe. Consequently, the energy demand for electricity will rise as a function of the number of EVs. To avoid local grid overload and guarantee a higher percentage of clean energy, EV charging stations can be supported by a combined system of grid-connected photovoltaic modules and battery storage. In this paper, the focus lies on the feasibility and economic aspects of such systems. To provide an overview of the different e-charging station combinations, a support tool was modelled and developed, making it possible to size and manage EVs charging stations with only a few input parameters. Thanks to its easy handling, the tool suits a wide spectrum of users. Due to enhanced optional settings, this tool is suitable for detailed input parameters for professionals as well. Input categories are basically divided into the photovoltaic (PV) system, battery storage, the charging station itself, and investment analysis. The tool supports decisions for solar charging stations designed for different parking locations like offices, schools, and public and private places.


2013 ◽  
Vol 291-294 ◽  
pp. 872-877 ◽  
Author(s):  
Guo Bing Qiu ◽  
Wen Xia Liu ◽  
Jian Hua Zhang

As an important infrastructure of electric vehicles (EVs), EV fast charging station is of great significance in the popularization and development of EVs. Through the analysis of the characteristics of EV’s arriving time and charging duration in fast charging station, the stochastic service system was introduced and the queuing system model based on queuing theory was established. By calculating the indexes of the queuing system model, the desire model was used to optimize the number of EV chargers, which could save customers’ waiting time and reduce the investment of charging station. Finally, an example was simulated and calculated with MATLAB used as a simulation tool to verify the effectiveness of this approach.


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