Analysis in Power Battery Gradient Utilization of Electric Vehicle

2011 ◽  
Vol 347-353 ◽  
pp. 555-559
Author(s):  
Dan Ming Cheng ◽  
Jing Zhou ◽  
Jin Li ◽  
Cheng Gang Du ◽  
Hua Zhang
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Value Chain ◽  
Battery Energy Storage ◽  
Energy Storage Technology ◽  
Power Battery ◽  
Electric Vehicle Battery ◽  
Battery Technology ◽  
Battery Energy

Currently the high cost and battery cycle life of lithium are the main limitations of commercial developing of electric vehicles, the chemical battery energy storage technology is also facing battery performance and cost issues. the current development of electric vehicle battery technology was analyzed, the magnificance and the value of electric vehicle battery gradient utilization are proposed, the application in different applications field of gradient utilization of electric vehicle battery was analyzed, in the end, this paper concluded that the battery gradient utilization technology will enable the electric vehicles and energy storage to generate new value chain.

scholarly journals Portfolio Optimization of Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Stations with Sustainability Perspective Based on Cumulative Prospect Theory and MOPSO

2020 ◽  
Vol 12 (3) ◽  
pp. 985 ◽  
Author(s):  
Jicheng Liu ◽  
Qiongjie Dai
Keyword(s):  
Energy Storage ◽  
Portfolio Optimization ◽  
Prospect Theory ◽  
Electric Vehicle ◽  
Optimization Model ◽  
Cumulative Prospect Theory ◽  
Battery Energy Storage ◽  
Electric Vehicle Charging ◽  
Battery Energy ◽  
Charging Stations

Recently, an increasing number of photovoltaic/battery energy storage/electric vehicle charging stations (PBES) have been established in many cities around the world. This paper proposes a PBES portfolio optimization model with a sustainability perspective. First, various decision-making criteria are identified from perspectives of economy, society, and environment. Secondly, the performance of alternatives with respect to each criterion is evaluated in the form of trapezoidal intuitionistic fuzzy numbers (TrIFN). Thirdly, the alternatives are ranked based on cumulative prospect theory. Then, a multi-objective optimization model is built and solved by multi-objective particle swarm optimization (MOPSO) algorithm to determine the optimal PBES portfolio. Finally, a case in South China is studied and a scenario analysis is conducted to verify the effectiveness of the proposed model.

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