Numerical investigation of water cooling for a lithium-ion bipolar battery pack

Tong, Wei; Somasundaram, Karthik; Birgersson, Erik; Mujumdar, Arun S.; Yap, Cheng‐Hon

doi:10.1016/j.ijthermalsci.2015.03.005

Cited by 127 publications

(45 citation statements)

References 38 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…20,21 More severely, fatal fires or explosions could be triggered by thermal runaway if the battery thermal condition can not be appropriately managed. Tong et al 24 In recent decades, due to the ability to evaluate the complexity of the system, various entropy algorithms, such as Shannon entropy, 26 sample entropy, 27 approximate entropy, 28 and fuzzy entropy, 29 have been widely used to judge the degree of system disorder in thermodynamics, information science, and other fields. The uniform temperature distribution inside the battery cell indicates that the mini-channel cooling system can prevent thermal runaway from propagation between cells.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The uniform temperature distribution inside the battery cell indicates that the mini-channel cooling system can prevent thermal runaway from propagation between cells. Tong et al 24 established a transient mathematical model that accounts for the conservation of charge and energy for a lithium-ion bipolar battery pack at various galvanostatic discharge rates. Qian et al 25 used a liquid-cooling method based on mini-channel cold plates and established a three-dimensional numerical model.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Multi‐fault synergistic diagnosis of battery systems based on the modified multi‐scale entropy

et al. 2019

View full text Add to dashboard Cite

Summary Faults of lithium batteries in their early stage in electric vehicles (EVs) are usually undetectable, and their characteristics are difficult to be extracted by conventional methods. This paper presents a novel synergistic diagnosis scheme for multiple battery faults using the modified multi‐scale entropy (MMSE). The proposed MMSE can effectively extract the multi‐scale features of complex battery signals in the early stages of battery faults as well as overcome the shortage of the coarse‐grained mode in the standard multi‐scale entropy. The simulation results on experimental data and the real‐world operational vehicles show that the proposed method can effectively detect and locate multiple battery faults/abnormities before they trigger the alarm thresholds. The defined sensitivity factor can implement real‐time evaluation on abnormities with high efficiency and stability, and the developed variable‐calculation‐window diagnosis scheme can synchronously detect and locate different fault types in real time. Furthermore, feasibility, stability, reliability, versatility, robustness, and practicality of the proposed method are separately verified using multiple sets of real‐world operation data. More importantly, the proposed method also provides feasibility to effectively prevent battery thermal runaway caused by multiple battery abnormities/faults. The applications of multi‐scale entropy theory is the first of its kind to battery fault diagnosis on the real‐world operational vehicles.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Multi‐fault synergistic diagnosis of battery systems based on the modified multi‐scale entropy

et al. 2019

View full text Add to dashboard Cite

show abstract

“…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

103

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

“…A variety of thermal management techniques and designs have been widely investigated in the literature, including air cooling (natural or forced air convection) [5][6][7][8][9], liquid cooling [10][11][12][13][14], heat pipe cooling [15][16][17] and phase change materials (PCM) cooling system [18][19][20][21][22]. Natural air cooling technology is suffering from low cooling efficiency, which failed to meet the requirement for the increasing power output of the electrical vehicle [23].…”

Section: Introductionmentioning

confidence: 99%

“…Zhao et al [17] found that a heat pipe thermal management system could maintain the temperature of LIB pack in an appropriate temperature range. Despite the fact that forced air cooling, liquid cooling and heat pipe cooling systems in a battery module present effective performance of temperature control and uniformity, the design of the structure in the system is relatively complex [8,9], especially for liquid cooling due to the risk of refrigerant leakage [10,12]. Moreover, additional components of active energy supply such as pumps and fans, which increase energy consumption, are required for air cooling and liquid cooling [26,27].…”

Section: Introductionmentioning

confidence: 99%