Three-dimensional thermal modeling of a lithium-ion battery pack

Sun, HongGuang; Wang, Xiaohui; Tossan, Brian; Dixon, Regan

doi:10.1016/j.jpowsour.2012.01.081

Cited by 123 publications

(59 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since three-dimensional simulations have to cover all the involved phenomena occurring in a wide range of length scales (from diffusion in nano particles to the electric current transfer in the current collector plates), their computation might become tremendously complicated and computationally intensive. Therefore, almost all simulations for larger batteries assume perpendicular current flow between current collectors [24][25][26][27][39][40][41][42][43][44][45]. They actually consider the electric current is distributed two-dimensionally on the current collectors and crosses the inside layers of the battery perpendicular to the current collectors' plane.…”

Section: Three-dimensional Modelingmentioning

confidence: 99%

Three-dimensional Multi-Particle Electrochemical Model of LiFePO4 Cells based on a Resistor Network Methodology

Mastali

Samadani

Farhad

et al. 2016

Electrochimica Acta

View full text Add to dashboard Cite

Section: Three-dimensional Modelingmentioning

confidence: 99%

Three-dimensional Multi-Particle Electrochemical Model of LiFePO4 Cells based on a Resistor Network Methodology

Mastali

Samadani

Farhad

et al. 2016

Electrochimica Acta

View full text Add to dashboard Cite

“…In recent years numerical modelling techniques are the prevalent approach for modelling thermal behaviour of ESS [71][72][73][74][75][76][77][78][79]. With the continuous increase in computational power and the better understanding of ESS materials, numerical approaches have the potential to produce very accurate results.…”

Section: Other Numerical Thermal Model Applicationsmentioning

confidence: 99%

Theoretical Modelling Methods for Thermal Management of Batteries

Shabani¹,

Biju²

2015

Energies

104

View full text Add to dashboard Cite

Abstract:The main challenge associated with renewable energy generation is the intermittency of the renewable source of power. Because of this, back-up generation sources fuelled by fossil fuels are required. In stationary applications whether it is a back-up diesel generator or connection to the grid, these systems are yet to be truly emissions-free. One solution to the problem is the utilisation of electrochemical energy storage systems (ESS) to store the excess renewable energy and then reusing this energy when the renewable energy source is insufficient to meet the demand. The performance of an ESS amongst other things is affected by the design, materials used and the operating temperature of the system. The operating temperature is critical since operating an ESS at low ambient temperatures affects its capacity and charge acceptance while operating the ESS at high ambient temperatures affects its lifetime and suggests safety risks. Safety risks are magnified in renewable energy storage applications given the scale of the ESS required to meet the energy demand. This necessity has propelled significant effort to model the thermal behaviour of ESS. Understanding and modelling the thermal behaviour of these systems is a crucial consideration before designing an efficient thermal management system that would operate safely and extend the lifetime of the ESS. This is vital in order to eliminate intermittency and add value to renewable sources of power. This paper concentrates on reviewing theoretical approaches used to simulate the operating temperatures of ESS and the subsequent endeavours of modelling thermal management systems for these systems. The intent of this review is to present some of the different methods of modelling the thermal behaviour of ESS highlighting the advantages and disadvantages of each approach. OPEN ACCESSEnergies 2015, 8 10154

show abstract

“…It is shown how different operating conditions (e.g., unbalanced state of charge (SoC) [6,7], various ageing conditions [8,9], flow rates [10,11], etc.) may affect battery cells' performance and may cause thermal gradients [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%