Effects of Diffusive Charge Transfer and Salt Concentration Gradient in Electrolyte on Li-ion Battery Energy and Power Densities

2014 ◽  
Vol 125 ◽  
pp. 117-123 ◽  
Author(s):  
Hadis Zarrin ◽  
Siamak Farhad ◽  
Feridun Hamdullahpur ◽  
Victor Chabot ◽  
Aiping Yu ◽  
...  
Keyword(s):  
Charge Transfer ◽  
Salt Concentration ◽  
Concentration Gradient ◽  
Li Ion Battery ◽  
Li Ion ◽  
Battery Energy ◽  
Power Densities

Imaging the Solution Phase Concentration Gradient in Li-Ion Battery Positive Electrodes with X-Ray Fluorescence

2020 ◽  
Vol MA2020-01 (4) ◽  
pp. 535-535
Author(s):  
Jeremy Dawkins ◽  
Mohammedreza Zamanzad Ghavidel ◽  
Danny Chhin ◽  
Isabelle Beaulieu ◽  
Steen Brian Schougaard ◽  
...  
Keyword(s):  
Concentration Gradient ◽  
Solution Phase ◽  
Li Ion Battery ◽  
Positive Electrodes ◽  
X Ray ◽  
Phase Concentration ◽  
Li Ion

scholarly journals Charging and Discharging Control of Li-Ion Battery Energy Management for Electric Vehicle Application

2018 ◽  
Vol 7 (4.35) ◽  
pp. 482 ◽  
Author(s):  
M. Verasamy ◽  
M. Faisal ◽  
Pin Jern Ker ◽  
M A Hannan
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
High Capacity ◽  
Lithium Ion ◽  
Cell Voltage ◽  
Storage Device ◽  
Protective Mechanism ◽  
Li Ion Battery ◽  
Li Ion ◽  
Battery Energy

Electric vehicle (EV) is now replacing the conventional fuel driven vehicle as it has strong contribution to face the challenges of global warming issues. This system has the energy storage device which can be introduced by lithium-ion (li-ion) battery banks. Lithium-ion is mostly popular because of its high capacity and efficiency. Nevertheless, li-ion battery needs protective mechanism to control overcharged or undercharged of the cell that can reduce the life expectancy and efficiency.  Hence, a control model needs to develop to enhance the protection of battery. Therefore, the key issue of the research is to investigate the performance of Li-ion battery energy management system (BMS) for electrical vehicle applications by monitoring and balancing the cell voltage level of battery banks using Simulink software. A bidirectional flyback DC-DC converter is investigated in the BMS model to control the undercharging or overcharging of cells. An intelligent charge control algorithm is used for this purpose. Backtracking search optimization algorithm (BSA) is implemented to optimize the parameters for generating regulated PWM signal. Obtained results were observed within the safety operating range of Li-ion battery (3.73 V – 3.87V).

Research on the Time Factor of Li-Ion Battery for Vehicle-to-Grid (V2G) Implementation and Charging Station Application

2011 ◽  
Vol 403-408 ◽  
pp. 3364-3370
Author(s):  
Wei Shi ◽  
Jiu Chun Jiang ◽  
Si Qi Lin ◽  
Rong Da Jia ◽  
Jia Peng Wen
Keyword(s):  
Smart Grid ◽  
Electric Vehicles ◽  
Time Factor ◽  
Li Ion Battery ◽  
Vehicle To Grid ◽  
Charging Station ◽  
Key Issues ◽  
Li Ion ◽  
Battery Energy ◽  
Energy Package

An outline of electric vehicles industry in the national smart grid plan and a conceptual framework for the vehicle-to-grid implementation in China is presented, and the relationship between battery energy package and smart grid is also discussed in this paper. The analysis and research based on the energy package management and charging station requirements are stated. This paper also does research on reasonable charge and discharge of the Li-ion battery with the performance degradation, which are the key issues of the development of electric vehicles. At last the paper will discuss briefly on the fast charge method, which saves time of charge battery and favors life span of battery system. When plenty of electric vehicles connecting to the grid, advanced energy scheduling and optimization control strategy of Li-ion battery demand consideration of time factor and the gird needs.

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