Investigation on the Impact of the HPPC Profile on the Battery ECM Parameters’ Offline Identification

Li, Zeyu; Shi, Xiaohan; Shi, Miaoyan; Wei, Chuanzhi; Di, Feng; Sun, Haibo

doi:10.1109/aeees48850.2020.9121487

Cited by 13 publications

(13 citation statements)

References 17 publications

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“…Because the pulses are applied in both plus and minus polarities, the overall module SoC is not changed by this spot measurement. [17] the pulse, and two RC elements in series describing the biexponential time-domain response (Figure 6b, inset). The median value of the root mean squared (RMS) error for the fitted EIS spectra was 56 μΩ, with higher values at low SoC.…”

Section: Resultsmentioning

confidence: 99%

“…The slow exponential phase is typically described by an RC component representing the charge transfer kinetics and the slower diffusion process. [17] There are several standard pulse tests to determine the dynamic properties of a battery. For instance, the hybrid pulse power characterization (HPPC) method consists of a discharge current pulse with 10 seconds width and high C-rate followed by a regenerative charge pulse with the same duration and Crate.…”

Section: Introductionmentioning

confidence: 99%

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Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells

Kasper

Moertelmaier

Ragulskis

et al. 2023

Batteries & Supercaps

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A 7 kWh automotive battery module with 396 interconnected cells was tested with electrochemical impedance spectroscopy (EIS) and time-domain pulsing over 260 charge-discharge cycles. An EIS calibration workflow was developed for low complex impedance values in a frequency range of 1 kHz to 50 mHz. Significant corrections on the resistance and the reactance were obtained from the calibration, particularly at frequencies above 100 Hz. Equivalent circuit parameters were extracted from the EIS spectra and the pulse response and investigated with respect to the cycle number and state-ofcharge (SoC). Fit parameters were robustly extracted including R sol , R ct , and L from EIS, and R 0 , τ 1 and τ 2 from time-domain pulsing. The ohmic resistance decreased over the cycling number indicating an enhanced wetting of the electrodes. Charge transfer resistance R ct showed a monotonic increase over the cycles related to cell ageing. From the charge and discharge pulses, the ohmic resistance R 0 was determined from the instantaneous voltage step of the recovery pulse, while the two time constants τ 1 and τ 2 correspond to the slower exponential recovery phase. R 0 from the time-domain showed a similar trend as R sol plus a contribution of R ct from EIS. Overall, we show that calibrated EIS and time-domain pulsing are efficient methods to gain insights into the electrochemical processes related to different SoCs and the cycling ageing of battery modules and packs.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells

Kasper

Moertelmaier

Ragulskis

et al. 2023

Batteries & Supercaps

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Section: Accepted Manuscriptmentioning

confidence: 99%

Cover Feature: Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells (Batteries & Supercaps 4/2023)

Kasper

Moertelmaier

Ragulskis

et al. 2023

Batteries & Supercaps

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The Cover Feature shows a 7 kWh automotive lithium‐ion battery module with 396 cylindrical cells characterized using calibrated electrochemical impedance spectroscopy (EIS) and time domain measurements. Based on EIS and time domain pulsing, robust model parameters are extracted, providing insights into the electrochemical processes of battery modules at different SoCs as well as cycling ageing. More information can be found in the Research Article by F. Kienberger and co‐workers.

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“…By contrast, offline techniques are free of the aforementioned limitations in online techniques, which could separately capture model parameters, considering various factors, such as current direction and load conditions. In addition, they are able to capture the variation trend of model parameters over a battery operating range (e.g., SOC and temperature) [84,85]. Hence, an approach with the combined strengths of both online and offline parameter identification techniques is expected to be developed for SOP estimation in the future.…”

Section: Parameter Identification Techniquesmentioning

confidence: 99%

A Review of Equivalent Circuit Model Based Online State of Power Estimation for Lithium-Ion Batteries in Electric Vehicles

Guo

Shen

2021

Vehicles

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With rapid transportation electrification worldwide, lithium-ion batteries have gained much attention for energy storage in electric vehicles (EVs). State of power (SOP) is one of the key states of lithium-ion batteries for EVs to optimise power flow, thereby requiring accurate online estimation. Equivalent circuit model (ECM)-based methods are considered as the mainstream technique for online SOP estimation. They primarily vary in their basic principle, technical contribution, and validation approach, which have not been systematically reviewed. This paper provides an overview of the improvements on ECM-based online SOP estimation methods in the past decade. Firstly, online SOP estimation methods are briefed, in terms of different operation modes, and their main pros and cons are also analysed accordingly. Secondly, technical contributions are reviewed from three aspects: battery modelling, online parameters identification, and SOP estimation. Thirdly, SOP testing methods are discussed, according to their accuracy and efficiency. Finally, the challenges and outlooks are presented to inspire researchers in this field for further developments in the future.

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Investigation on the Impact of the HPPC Profile on the Battery ECM Parameters’ Offline Identification

Cited by 13 publications

References 17 publications

Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells

Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells

Cover Feature: Calibrated Electrochemical Impedance Spectroscopy and Time‐Domain Measurements of a 7 kWh Automotive Lithium‐Ion Battery Module with 396 Cylindrical Cells (Batteries & Supercaps 4/2023)

A Review of Equivalent Circuit Model Based Online State of Power Estimation for Lithium-Ion Batteries in Electric Vehicles

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