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Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature.

ABSTRACT: This article provides the dataset of both the LiFePO4 type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features. The datasets were achieved at room temperature, in August, 2016. The shared data contributes to clarify the behavior of the LIBs and ultracapacitors and can be used to predict the state-of-charge (SOC) of the LIBs and ultracapacitors, which is also shown in the article of "Modeling and state-of-charge prediction of lithium-ion battery and ultracapacitor hybrids with a co-estimator" (United States Advanced Battery Consortium, 1996) [1].

SUBMITTER: Wang Y

PROVIDER: S-EPMC5396853 | biostudies-other | 2017 Jun

REPOSITORIES: biostudies-other

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Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature.

Wang Yujie Y Liu Chang C Pan Rui R Chen Zonghai Z

Data in brief 20170206

This article provides the dataset of both the LiFePO<sub>4</sub> type lithium-ion battery (LIB) behavior and the Maxwell ultracapacitor behavior. The dynamic stress test (DST) condition and the urban dynamometer driving schedule (UDDS) condition were carried out to analyze the battery/ultracapacitor features. The datasets were achieved at room temperature, in August, 2016. The shared data contributes to clarify the behavior of the LIBs and ultracapacitors and can be used to predict the state-of- ...[more]

PMID: 28459088

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Project description:Background: A cost-effective solution for the design of distributed energy storage systems implies the development of battery performance models yielding a suitable representation of its dynamic behaviour under realistic operation conditions. Methods: In this work, a lithium-ion battery (LIB) is tested to be further modelled and integrated into an existing energy management control system. This specific LIB (5.0 kW /9.8 kWh) is integrated with a commercial inverter and solar photovoltaic (PV) system (3.3 kWp) as part of a microgrid that is also encompassing other energy storage technologies at the University of Évora, Pole of INIESC - National Research Infrastructure for Solar Energy Concentration. A testing protocol fully characterizes the battery and the inverter efficiency to describe their performance better. Then, a battery model is built upon both the existent LIB description and experimental fitting regression. The model allows obtaining the voltage curve, the internal resistance (i.e., to describe instantaneous voltage drop/rise and transients), and the state of charge (SOC) and/or energy capacity based on the current input. The developed model is validated through the comparison with the experimental results. Results: The model approach presented a higher voltage RMSE (root mean square error) of 5.51 V and an MRE (maximum relative error) of 5.68 % in the discharge state. Regarding SOC, the MRE obtained was approximately 6.82 %. In the charge state, the highest RMSE voltage was 5.27 V, with an MRE of 6.74 %. Concerning SOC, the MRE obtained was approximately 6.53 %. Conclusions: The developed model is validated through the comparison with experimental results. Based on computational effort, simplicity of use and the associated model error, the approach is validated to the regular conditions of the commercial battery pack to be incorporated in the next research step, following a bottom-up modelling approach for an increasingly more complex smart grid.

Dataset Information

Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature.

Publications

Experimental data of lithium-ion battery and ultracapacitor under DST and UDDS profiles at room temperature.

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