Three-Dimensional Thermal Model of a Lithium Ion Battery for Hybrid Mobile Working Machines: Determination of the Model Parameters in a Pouch Cell

Murashko, Kirill; Pyrhönen, Juha; Laurila, Lasse

doi:10.1109/tec.2013.2255291

Cited by 61 publications

(48 citation statements)

References 27 publications

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“…A comprehensive state of the art associated to model for temperature estimation of electrochemical batteries can be divided into two main groups: (i) numerical techniques [2]- [4] and (ii) lumped thermal models [5]- [7]. Numerical techniques, such as finite element analysis (FEA) methods, have been successfully applied to infer the temperature distribution of electrochemical cells of different sizes and materials [2]- [3].…”

Section: Introductionmentioning

confidence: 99%

“…However, the main hypothesis assumed in this category of models is that temperature distribution is cylindrically uniform. This assumption introduces significant error in the case of pouch cells, as it has been insightfully described in [4]. Moreover, it would be interesting to predict the temperature distribution of the targeted cell under different State-of-Health (SOH) and associated ageing.…”

Section: Introductionmentioning

confidence: 99%

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Surface temperature estimation of li-ion battery via thermal impulse response technique

Xiao

Torregrossa

Paolone

2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Abstract-This paper focuses on the prediction of temperature profiles on the surface of Lithium-ion cells. In particular, the paper proposes the adoption of the impulse response technique to predict cell surface temperatures consequent to generic discharge conditions applied to the targeted cell. The method is fed by data obtained by dedicated experiments to be performed on the targeted cell. In order to feed the proposed method, these experiments aim at obtaining cell surface temperature profiles consequent to short-time current discharge impulses. A set of dedicated validations is finally included in the paper in order to verify the validity of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface temperature estimation of li-ion battery via thermal impulse response technique

Xiao

Torregrossa

Paolone

2015

2015 IEEE Applied Power Electronics Conference and Exposition (APEC)

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“…Given its simplicity and quick formulation the equivalent circuit thermal modelling approach is a common theoretical modelling technic for modelling electrochemical behaviour for ESS especially at a systems level [29,59,[91][92][93][94][95][96][97][98]. This method was the ideal approach for the task of continuously monitoring the temperature distribution of an ESS for Xiao [29].…”

Section: Electrical Equivalent Circuit Thermal Modelsmentioning

confidence: 99%

Theoretical Modelling Methods for Thermal Management of Batteries

Shabani¹,

Biju²

2015

Energies

104

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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

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“…These models highlight the general pattern of thermal process, but model parameters are obtained from typical experiments under laboratory conditions [18][19][20][21]. Battery's internal temperature has distinct influence on ECM parameters in Figure 2, therefore, variations of ECM parameters can be utilized to depict the thermal process, and then the TVC fitting method can be used for thermal characteristics modeling [22][23][24][25][26][27]. However, most papers focus on the relationship between ECM parameters and ambient temperature, and the thermal process excited by operating current is not sufficiently studied.…”

Section: Introductionmentioning

confidence: 99%

“…Because the time scales of thermal process and SOC varying process are similar, it is necessary to design a method that decouples the processes and identifies the parameters. Conventional methods use extra current transients to obtain the variation of ECM parameters during a thermal process [25,26]. These methods take long time to characterize a thermal process, and introduce extra thermal processes, which makes parameter identification more complex.…”

Section: Introductionmentioning

confidence: 99%

A Parameter Identification Method for Dynamics of Lithium Iron Phosphate Batteries Based on Step-Change Current Curves and Constant Current Curves

Yang

2016

Energies

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Parameterization of battery dynamics based on terminal operating data is a main concern in engineering applications of batteries. The key technology is designing an adequate test procedure and a data processing procedure to excite different inner dynamics and then estimate the parameters of a corresponding equivalent circuit model (ECM). This paper proposes a parameter identification method that utilizes the terminal voltage curves (TVC) under step-change current conditions and constant current conditions. With this method, I-V characteristics of battery's Ohmic resistance, mass diffusion process, thermal process and SOC varying process are decoupled and parametric functions of an ECM are obtained. Experimental results show that the method is easy to be implemented and modeling accuracy is sufficient for applications.

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Three-Dimensional Thermal Model of a Lithium Ion Battery for Hybrid Mobile Working Machines: Determination of the Model Parameters in a Pouch Cell

Cited by 61 publications

References 27 publications

Surface temperature estimation of li-ion battery via thermal impulse response technique

Surface temperature estimation of li-ion battery via thermal impulse response technique

Theoretical Modelling Methods for Thermal Management of Batteries

A Parameter Identification Method for Dynamics of Lithium Iron Phosphate Batteries Based on Step-Change Current Curves and Constant Current Curves

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