Cycling degradation of an automotive LiFePO4 lithium-ion battery

Zhang, Yancheng; Wang, Chao Yang; Tang, Xidong

doi:10.1016/j.jpowsour.2010.08.070

Cited by 354 publications

(188 citation statements)

References 39 publications

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“…This experiment shows an external pressure of 0.8 bar leads to a capacity reduction of 2% at 25 0 C and 4% at 0 0 C. The shape of the discharge voltage remains unchanged except at the beginning and end of discharge period; it is similar for all three temperatures. From these results it can be said that there is no change of voltage plateau of cathode and graphite anode due to external pressure [8]. However, external pressure does change the capacity of the cell which happens at the last portion of the discharge period.…”

Section: A2 -Charging Behaviormentioning

confidence: 79%

A study of the effects of external pressure on the electrical performance of a lithium-ion pouch cell

Barai

Guo

McGordon

et al. 2013

2013 International Conference on Connected Vehicles and Expo (ICCVE)

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Section: A2 -Charging Behaviormentioning

confidence: 79%

A study of the effects of external pressure on the electrical performance of a lithium-ion pouch cell

Barai

Guo

McGordon

et al. 2013

2013 International Conference on Connected Vehicles and Expo (ICCVE)

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“…The latter generally result in an increase in activation energy due to an increase in the thickness of the SEI layer on the anode. Thus Zhang et al [39] have reported an activation energy of 4.3 kJ mol -1 for a fresh battery utilising a LiFePO 4 cathode; this increased to 20.9 kJ mol -1 after 300 cycles. However, an activation energy of 3.6 kJ mol -1 for a battery employing a LiNiO 2 cathode has also been reported [40], which decreased to 2.4 kJ mol -1 after 5250 cycles.…”

Section: Resultsmentioning

confidence: 99%

A study of 40 Ah lithium ion batteries at zero percent state of charge as a function of temperature

Attidekou

Lambert

Armstrong

et al. 2014

Journal of Power Sources

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A theoretical equivalent circuit model of two 40Ah commercial batteries supplied by Saft was formulated to interpret electrochemical impedance spectra as a function of temperature at zero state-of-charge. The batteries were chosen to represent viable and non-viable products from the Saft production line. This paper is the first contribution from a project in Newcastle to develop a rapid, non-destructive analytical method for quality control on the battery production line. Using the model, it proved straightforward to discriminate between viable and non-viable batteries based on the temperature dependence of the electrochemical reaction kinetics at the electrodes, the average diffusion coefficients and the charge transfer resistances. Furthermore, as well as marked differences, for example, between the time constants, activation energies, polarisation resistances of the viable and non-viable batteries, the individual contributions of the anodes and cathodes in the batteries were de-convoluted and interpreted through the model framework.5

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“…6, in 'With V2G' scenario, the SoC of this vehicle battery changes within a wider range in comparison to the 'Without V2G' scenario as the EV is being controlled to discharge the energy stored in its batteries back to the grid in some occasions. This extra fluctuation of the SoC of the batteries due to participating in V2G scheme could potentially degrade the performance of batteries as discussed in [20][21][22][23]. This issue will be investigated in future work with an attempt to optimize the profit gained from V2G participation of these EVs.…”

Section: Simulation Resultsmentioning

confidence: 99%

Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes

Kiaee

Cruden

Sharkh

2015

J. Mod. Power Syst. Clean Energy

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The storage capacity of the batteries in an electric vehicle (EV) could be utilised to store electrical energy and give it back to the grid when needed by participating in vehicle to grid (V2G) schemes. This participation could be a source of revenue for vehicle owners thus reducing the total charging cost of their EVs. A V2G simulator has been developed using MATLAB to find out the potential cost saving from participation of EVs in V2G schemes. A standard IEEE30 network has been modelled in the simulator which uses the MATPOWER engine to undertake power flow analysis. A novel control algorithm has been developed to take advantage of the difference between the selling and buying electricity prices by charging and discharging EVs at the appropriate time. Two scenarios are simulated to compare the total charging cost of EVs with or without the utilisation of V2G technology within the power system assuming a total of 5000 EVs. The results of the simulation show that the applied control strategy with V2G is able to reduce the charging cost of EVs by 13.6 % while satisfying the minimum requirement for state of charge (SoC) of the EV batteries to complete their next journey.

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Cycling degradation of an automotive LiFePO4 lithium-ion battery

Cited by 354 publications

References 39 publications

A study of the effects of external pressure on the electrical performance of a lithium-ion pouch cell

A study of the effects of external pressure on the electrical performance of a lithium-ion pouch cell

A study of 40 Ah lithium ion batteries at zero percent state of charge as a function of temperature

Estimation of cost savings from participation of electric vehicles in vehicle to grid (V2G) schemes

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