A Coupled Thermo-Mechanical Dynamic Characterization of Cylindrical Batteries

Alsharif, Khaled I; Pesch, Alexander H.; Borra, Vamsi; Li, Frank X.; Cortes, Pedro; MacDonald, Eric; Choo, Kyosung

doi:10.1109/access.2022.3173640

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…After developing the ECM of the proposed SLB, HPPC pulses are applied to the theoretical model as the input current, and the voltage response is compared to the experimental values obtained in the laboratory [97,98]. Following that, optimum values of the ECM parameters in various SOCs are identified using fitting algorithms such as the Levenberg-Marquardt [99,100], trust-region reflective [101,102], and genetic [103,104] algorithms to minimise the error between the voltage response obtained by the model and the experiments. The overall process of the ECM characterisation is presented in Figure 12.…”

Section: Characterisation Testsmentioning

confidence: 99%

A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles

Salek,

Resalati,

Babaie

et al. 2024

Batteries

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The increasing number of electric vehicles (EVs) on the roads has led to a rise in the number of batteries reaching the end of their first life. Such batteries, however, still have a capacity of 75–80% remaining, creating an opportunity for a second life in less power-intensive applications. Utilising these second-life batteries (SLBs) requires specific preparation, including grading the batteries based on their State of Health (SoH); repackaging, considering the end-use requirements; and the development of an accurate battery-management system (BMS) based on validated theoretical models. In this paper, we conduct a technical review of mathematical modelling and experimental analyses of SLBs to address existing challenges in BMS development. Our review reveals that most of the recent research focuses on environmental and economic aspects rather than technical challenges. The review suggests the use of equivalent-circuit models with 2RCs and 3RCs, which exhibit good accuracy for estimating the performance of lithium-ion batteries during their second life. Furthermore, electrochemical impedance spectroscopy (EIS) tests provide valuable information about the SLBs’ degradation history and conditions. For addressing calendar-ageing mechanisms, electrochemical models are suggested over empirical models due to their effectiveness and efficiency. Additionally, generating cycle-ageing test profiles based on real application scenarios using synthetic load data is recommended for reliable predictions. Artificial intelligence algorithms show promise in predicting SLB cycle-ageing fading parameters, offering significant time-saving benefits for lab testing. Our study emphasises the importance of focusing on technical challenges to facilitate the effective utilisation of SLBs in stationary applications, such as building energy-storage systems and EV charging stations.

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Section: Characterisation Testsmentioning

confidence: 99%

A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles

Salek,

Resalati,

Babaie

et al. 2024

Batteries

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“…Thermal characteristics of components can be learned by approximating them into a lumped parameter model, and using parameter identification methods. Thermal characteristics of the components are modeled using a lumped capacitance model [10], [11], [12], [13] as follows:…”

Section: B Hev System Architecturementioning

confidence: 99%

Functional Situational Awareness for Reliable and Efficient Operation of Hybrid Electric Vehicle Power Systems

et al. 2024

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Hybrid electric vehicle power systems (VPSs) comprise of limited energy resources and variable load requirements. The functional status of components and subsystems that make up the VPS is critical to the overall system operation. The degradation and critical operating states of components affect system efficiency and reliability differently. Therefore, monitoring of the functional status (referred to as functional situational awareness (FSA)) of components, subsystems and system is needed for reliable and efficient operation of VPS. In this study, VPS-FSA is inferred hierarchically at three levels of complexity, namely, at the component, subsystem and system level. In each of these levels, two types of FSA are inferred to qualify and quantify the functional states of components, subsystems and system. Component-FSA is based on currents and temperatures measurements of the components. Subsystem-FSA and System-FSA are derived as fusion of Component-FSA and Subsystem-FSA, respectively. Type 1-FSA is inferred using reasoning and threshold values. Type 2-FSA is derived using more complex relationships of temperature and current states. Typical FSA results are presented for a VPS for a standard drive cycle and long-term effects on the VPS operation are shown over several drive cylces.INDEX TERMS Functional situational awareness, hybrid electric vehicles power system, component degradation, critical operating states. NOMENCLATURE y Type 2-Degradation FSA of y

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Study on Real-Time Battery Temperature Prediction Based on Coupling of Multiphysics Fields and Temporal Networks

Liu,

Xiong,

2024

IEEE Access

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A Coupled Thermo-Mechanical Dynamic Characterization of Cylindrical Batteries

Cited by 4 publications

References 32 publications

A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles

A Review of the Technical Challenges and Solutions in Maximising the Potential Use of Second Life Batteries from Electric Vehicles

Functional Situational Awareness for Reliable and Efficient Operation of Hybrid Electric Vehicle Power Systems

Study on Real-Time Battery Temperature Prediction Based on Coupling of Multiphysics Fields and Temporal Networks

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