IC for online EIS in automotive batteries and hybrid architecture for high-current perturbation in low-impedance cells

Gong, Zhe; Liu, Z.; Wang, Y.; Gupta, Kshitij; Silva, C. da; Liu, T.; Zheng, Zhufeng; Zhang, W. P.; Lammeren, J.P.M. van; Bergveld, Henk Jan; Amón, Cristina H.; Trescases, Olivier

doi:10.1109/apec.2018.8341280

Cited by 28 publications

(22 citation statements)

References 14 publications

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“…Obviously, the measurement uncertainty is also dependent on the used measurement equipment. Since common electrochemical measurement equipment is not suitable for on-board applications, several authors presented proof-of-concept PCB that can perform these on-board electrochemical measurements [277,281,287,[294][295][296][297][298]. By integrating the PCB functionalities into a small chip [299], batteries inside a battery pack can be monitored for voltage, impedance and temperature by a single device, enabling accurate SoC, SoH, and temperature measurements at individual battery level.…”

Section: Impedance-based Temperature Measurementsmentioning

confidence: 99%

A review on various temperature-indication methods for Li-ion batteries

et al. 2019

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Temperature measurements of Li-ion batteries are important for assisting Battery Management Systems in controlling highly relevant states, such as State-of-Charge and State-of-Health. In addition, temperature measurements are essential to prevent dangerous situations and to maximize the performance and cycle life of batteries. However, due to thermal gradients, which might quickly develop during operation, fast and accurate temperature measurements can be rather challenging. For a proper selection of the temperature measurement method, aspects such as measurement range, accuracy, resolution, and costs of the method are important. After providing a brief overview of the working principle of Li-ion batteries, including the heat generation principles and possible consequences, this review gives a comprehensive overview of various temperature measurement methods that can be used for temperature indication of Li-ion batteries. At present, traditional temperature measurement methods, such as thermistors and thermocouples, are extensively used. Several recently introduced methods, such as impedance-based temperature indication and fiber Bragg-grating techniques, are under investigation in order to determine if those are suitable for largescale introduction in sophisticated battery-powered applications.

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Section: Impedance-based Temperature Measurementsmentioning

confidence: 99%

A review on various temperature-indication methods for Li-ion batteries

et al. 2019

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“…As the excitation source, linear [149,157,290,291] and switched mode actuators [147,151,[292][293][294][295] can be found in the literature. For cell level measurement, linear excitation is a simple and common technique, whereas switched mode actuators tend to be employed for large cells or packs to create arbitrarily shaped excitation signals.…”

Section: Impedancementioning

confidence: 99%

“…Switching events in an Reconfigurable Battery System (RBS) support the process of passive broadband impedance measurement in a comparatively efficient manner [293,294]. Sophisticated methods for excitation, using slightly modified existing hardware, are presented in [290,296,304]. The work of Gong et al demonstrates a unique hybrid architecture, combining the benefits of linear and switched mode excitation [290].…”

Section: Impedancementioning

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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“…Cell‐to‐cell variation, although statistically challenging to account for, should be considered by including more cells in those tests whose conditions promote dominant degradation mechanisms, such as tests at 45°C and −15°C. When running tests, we also recommend periodic cell characterizations every 100 days, including electrochemical impedance spectroscopy (EIS), which is proven as an efficient aging diagnostic tool that could help to identify degradation modes . Finally, tests at sub‐zero temperatures become optional in those geographies where these ambient temperatures are not expected.…”

Section: Guidelines For Dbm‐ats In Libsmentioning

confidence: 99%

Challenges in data‐based degradation models for lithium‐ion batteries

et al. 2020

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Summary This work summarizes the findings resulting from applying an aging modeling approach to four different capacity loss experimental datasets of lithium‐ion batteries (LIBs). This approach assumes that the degradation trajectory of the capacity is a function of three variables: time, kinetic constant, and time‐dependent factor. The analysis shows that the time‐dependent factor α is cell‐chemistry dependent and cannot be averaged for calendar and cycling modes and combined modes. This factor was also found to be a function of the stress factors. A quadratic model was used to obtain the kinetic constants per test, and statistical metrics were provided to evaluate the quality of the fitting, which was significantly affected when using averaged values of α and refitted kinetic constants. A set of test matrices is proposed for calendar, cycling, and mixed aging modes to overcome the challenges of data‐based models developed from accelerated test approaches for modeling aging in LIBs. This work also proposes a methodology to develop these data‐based aging models.

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IC for online EIS in automotive batteries and hybrid architecture for high-current perturbation in low-impedance cells

Cited by 28 publications

References 14 publications

A review on various temperature-indication methods for Li-ion batteries

A review on various temperature-indication methods for Li-ion batteries

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

Challenges in data‐based degradation models for lithium‐ion batteries

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