Coupled thermal–electrochemical modelling of uneven heat generation in lithium-ion battery packs

Capacity fade modelling of lithium-ion battery under cyclic loading conditions

“…Most of early thermal prediction studies were based on the lumped parameter approach, representing a battery as a large thermal mass without considering internal thermal conductivity [13]. Later, Wu et al [14] extended the study of Smith and Wang [13] for a battery pack with interconnected resistance focusing on the load imbalance generated in automobile applications. In the lumped model, thermal properties 5 are averaged, which reduces the accuracy of thermal prediction.…”

“…It is interesting to note that the Arrehenius correction plays a significant role in deciding the performance of a battery by influencing the physiochemical variables ψ. The solid phase 20 diffusion coefficient and exchange current density affect the charge transfer resistance, thus enabling the lithium to diffuse through the solid phase at a much faster rate and improving the performance of a battery with a temperature increase [14]. W/m 2 K the rate of the SEI layer growth is low and the battery operates for more than 250…”

Extending battery life: A low-cost practical diagnostic technique for lithium-ion batteries

“…It is accepted that pack design can give rise to inhomogeneity in both current and temperature between cells [18]. The unequal and changing current in the cells as observed in Figure 2a and 4a is a result of differences in internal impedance and external resistance.…”

Advances in Integrated Vehicle Thermal Management and Numerical Simulation

“…In addition, according to the Fick law, they could analyze the diffusion process of lithium ions inside the electrode [189,190]. Additionally, they applied the concentration diffusion equation to get the lithium-ion transportation in solid phase electrodes, liquid electrolytes and SEI [191]. The mentioned 1D lumped parameter models then were combined with 3D CFD simulation, through the coupling simulation of electric-thermal and chemical parameters, the researchers realized a representation and prediction of the spatial distribution of the concentration of lithium ion, liquid phase potential and temperature in the processes of charging and discharging [192].…”