Main aging mechanisms in Li ion batteries

Broussely, M.; Biensan, P.; Bonhomme, Frédéric; Blanchard, Ph.; Herreyre, S.; Nechev, Kamen; Staniewicz, Robert J.

doi:10.1016/j.jpowsour.2005.03.172

Cited by 983 publications

(617 citation statements)

References 4 publications

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“…Measurements were carried out at compaction pressures of 2.3 bar, 4.6 bar 6.9 bar, 9.2 bar and 11.5 bar. When measuring electrolyte solvent soaked samples, materials were soaked in a 50:50 vol.% mixture of diethyl carbonate and ethylen carbonate without the presence of LiPF 6 . As one can see later, this does not significantly effect the thermal conductivity of the examined separator or the NMC-cathode, but an effect on the thermal conductivity of the graphite-anode of up to about 35 % increase was measured.…”

Section: Apparatus -Thermal Conductivity Measurementsmentioning

confidence: 99%

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Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Richter

Kjelstrup

Vie

et al. 2017

Journal of Power Sources

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Section: Apparatus -Thermal Conductivity Measurementsmentioning

confidence: 99%

“…The thermal conductivity values can be found in Table 4. We modelled without the presence of LiPF 6 and neglected the influence of temperature on the thermal conductivity. Fig.…”

Section: Temperature Profile Assessmentmentioning

confidence: 99%

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Richter

Kjelstrup

Vie

et al. 2017

Journal of Power Sources

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“…Many degradation processes in Li ion batteries are caused by and most of them are enhanced under temperature increase [1,2]. Thermal runaway may begin as a very local phenomenon by initiating an exothermal reaction at a local hotspot.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic consistent transport theory of Li-ion batteries

Latz

Zausch

2011

Journal of Power Sources

188

220

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Most Li ion insertion batteries consist of a porous cathode, a separator filled with electrolyte and an anode, which very often also has some porous structure. The solid part especially in the cathode is usually produced by mixing a powder of the actual active particles, in which Li ions will be intercalated, binder and carbon black to enhance the electronic conductivity of the electrode. As a result the porous structure of the electrodes is very complex, leading to complex potential, ion and temperature distributions within the electrodes. The intercalation and deintercalation of ions cannot be expected to be homogeneously distributed over the electrode due to the different transport properties of electrolyte and active particles in the electrode and the complex three-dimensional pore structure of the electrode. The influence of the final microstructure on the distribution of temperature, electric potential and ions within the electrodes is not known in detail, but may influence strongly the onset of degradation mechanisms. For being able to numerically simulate the transport phenomena, the equations and interface conditions for ion, charge and heat transport within the complex structure of the electrodes and through the electrolyte filled separator are needed. We will present a rigorous derivation of these equations based exclusively on general principles of nonequilibrium thermodynamics. The theory is thermodynamically consistent i.e. it guarantees strictly positive entropy production. The irreversible and reversible sources of heat are derived within the theory. Especially the various contribution to the Peltier heat due to the intercalation of ions are obtained as a result of the theory

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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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Main aging mechanisms in Li ion batteries

Cited by 983 publications

References 4 publications

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Thermal conductivity and internal temperature profiles of Li-ion secondary batteries

Thermodynamic consistent transport theory of Li-ion batteries

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

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