Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup

Kleiner, Jan; Komsiyska, Lidiya; Elger, Gordon; Endisch, Christian

doi:10.3390/en13010062

Cited by 28 publications

(9 citation statements)

References 26 publications

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“…Safety and batteries performance have been analysed through modelling and experimental tests in the last decades [4,5]. Progressive damage with charge/discharge cycles is the major weak point of lithium ion cells, since it affects the lifetime considerably [6].…”

Section: Introductionmentioning

confidence: 99%

Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery

2020

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Electric cycling is one of the major damage sources in lithium-ion batteries and extensive work has been produced to understand and to slow down this phenomenon. The damage is related to the insertion and extraction of lithium ions in the active material. These processes cause mechanical stresses which in turn generate crack propagation, material loss and pulverization of the active material. In this work, the principles of diffusion induced stress theory are applied to predict concentration and stress field in the active material particles. Coupled and uncoupled models are derived, depending on whether the effect of hydrostatic stress on concentration is considered or neglected. The analytical solution of the coupled model is proposed in this work, in addition to the analytical solution of the uncoupled model already described in the literature. The analytical solution is a faster and simpler way to deal with the problem which otherwise should be solved in a numerical way with finite difference method or a finite element model. The results of the coupled and uncoupled models for three different state of charge levels are compared assuming the physical parameters of anode and cathode active material. Finally, the effects of tensile and compressive stress are analysed.

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Section: Introductionmentioning

confidence: 99%

Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery

2020

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“…In the field of thermal modeling of conventional battery systems, various modeling approaches already exist, which use detailed 3D-electrochemical-thermal (e.g., [116]) or electro-thermal models (e.g., [117]). Detailed 3D-models based on electro-thermal coupling in any form are well-suited to analyze the behavior in detail.…”

Section: Online Identification Of Core Temperaturementioning

confidence: 99%

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of electric vehicles. The essential features of Intelligent Battery Systems are the accurate and robust determination of cell individual states and the ability to control the current of each cell by reconfiguration. They enable high-level functions like fault diagnostics, multi-objective balancing strategies, multilevel inverters, and hybrid energy storage systems. State of the art and recent advances in these topics are compiled and critically discussed in this article. A comprising, critical discussion of the implementation aspects of Intelligent Battery Systems complements the review. We touch on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell. This review contributes to transferring the best technologies from research to product development.

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“…The thermal physical parameters of lithium-ion batteries are shown in Table 3. The parameters in Table 2 were set according to the battery manufacturer and those found in [35][36][37][38][39][40][41]. The thermophysical parameters in Table 3 were calculated according to Formulas (10)- (12).…”

Section: Temperature Characteristic Test Of the Lithium-ion Batterymentioning

confidence: 99%

Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

Li²,

Chen

2021

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Research on the heat transfer characteristics of lithium-ion batteries is of great significance to the thermal management system of electric vehicles. The electrodes of lithium-ion batteries are composed of porous materials, and thus the heat conduction of the battery is not a standard form of diffusion. The traditional heat conduction model is not suitable for lithium-ion batteries. In this paper, a fractional heat conduction model is used to study the heat transfer properties of lithium-ion batteries. Firstly, the heat conduction model of the battery is established based on the fractional calculus theory. Then, the temperature characteristic test was carried out to collect the temperature of the battery in various operating environments. Finally, the temperature calculated by the fractional heat conduction model was compared with the measured temperature. The results show that the accuracy of fractional heat conduction model is higher than that of traditional heat conduction model. The fractional heat conduction model can well simulate the transient temperature field of the battery. The fractional heat conduction model can be used to monitor the temperature of the battery, so as to ensure the safety and stability of the battery performance.

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Thermal Modelling of a Prismatic Lithium-Ion Cell in a Battery Electric Vehicle Environment: Influences of the Experimental Validation Setup

Cited by 28 publications

References 26 publications

Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery

Analytical Solution for Coupled Diffusion Induced Stress Model for Lithium-Ion Battery

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

Analysis of the Properties of Fractional Heat Conduction in Porous Electrodes of Lithium-Ion Batteries

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