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RISS 인기검색어
- 검색키워드
- 저자 : Chang Jiaqing (검색결과 3 건)
- 무료
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- 유료
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Chang, Jiaqing,Chi, Mingshan,Shen, Teng The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.2
Lithium-ion batteries have been treated as the most efficient energy storage candidates in electric vehicles. However, range anxiety hinders its popularity in daily transportation. When compared with the extensively discussed state-of-charge, state-of-energy (SoE) is a more appropriate indicator of remaining driving mileage by considering the voltage degradation in the discharging process. In this paper, an equivalent circuit model (ECM) based SoE estimator is proposed where a pseudo power definition is utilized to exclude the internal loss influence, and an unscented particle filter is employed to address system nonlinearities and noises. Additionally, to accommodate battery time-variant characteristics, the ECM parameters and variables are decoupled in complex-frequency domain, upon which the recursive least square algorithm is utilized for the on-line identification of parameters. Finally, a series of validation experiments on a LiFePO<sub>4</sub> battery verify that the proposed methodology can track the real SoE closely with an error of less than 1.8%.
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Numerical Investigation of Indoor CO<sub>2</sub> Concentration Distribution in an Apartment
Jiaqing Zhou,,Chang Nyung Kim, SAGE Publications 2011 Indoor + built environment Vol.20 No.1
<P> In a residential kitchen, a number of pollutants are generated due to cooking and are released into the ambient air; these can significantly affect the indoor air quality of residential environment. The purpose of this study was to investigate the indoor environmental conditions via the velocity field, temperature field and CO2 concentration distribution during cooking in a kitchen in a typical Korean apartment. Numerical simulations were conducted using the computational fluid dynamics software FLUENT 6.3 for solving the continuity, momentum, energy and concentration equations in an unsteady state with the standard k-ε turbulence model. The parameters used for the simulations included: (1) the extraction flow rate of the range hood (0, 500, 750 and 1000 m<SUP>3</SUP>·h<SUP>-1</SUP>) and (2) the angle between the inlet airflow and the ceiling (90°, 45° and 22.5°). The findings illustrated that the temperature and CO2 concentration distribution could be greatly influenced by the extraction flow rate of the range hood. Also, by reducing the angle between the airflow and ceiling, the area-averaged temperature could be reduced in the breathing plane of the kitchen. The findings of this research could contribute to the reduction of energy consumption and the adverse effects caused by cooking. </P>
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Xie Wei,Chen Jun,Gu Yu,Ma Jiachen,Chang Jiaqing 한국자동차공학회 2022 International journal of automotive technology Vol.23 No.2
Range issue has become the concern focus in the field of electric vehicles. In contrast to the generally used State-of-Charge (SoC), battery State-of-Energy (SoE) is regarded more appropriate in representing the remnant driving range by taking account of the voltage decline across the discharging process. In this paper, a SoE estimator is constructed using a pseudo power definition upon battery open-circuit-voltage (OCV) to exclude the energy loss on internal resistance; simultaneously, by combining with an equivalent circuit model (ECM), the unscented particle filter (UPF) is exploited to deal with problems of model nonlinearities, internal interferences, sensor noises and accumulated errors. Further, to adapt to battery time-variant features, the ECM parameters are on-line identified resorting to the recursive least square with forgetting factor algorithm. Finally, SoE estimation experiments using the proposed estimator on a LiFePO4 battery show superior performance regarding robustness and accuracy against high-dynamic loads and various temperatures.
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