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- 저자 : Jiaqing Xie (검색결과 3 건)
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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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Improvement of Glass Formability in Ultrasonic Vibration Assisted Molding Process
Tianfeng Zhou,Jiaqing Xie,Jiwang Yan,Kuriyagawa Tsunemoto,Xibin Wang 한국정밀공학회 2017 International Journal of Precision Engineering and Vol.18 No.1
Micro optical elements with complex shapes are needed increasingly in optical, optoelectronic and biomedical industries. Since glass molding process is an effective approach to fabricate microstructures, and its surface quality strongly depends on the filling capacity of glass at high temperature. To improve the formability and reduce adhesion between the glass and the mold at high temperature, ultrasonic vibration is applied to improve the formability in the molding process. Fundamental experiments are carried out to test the effectiveness of ultrasonic vibration on friction force decrease and a bonding model on the glass-mold interface at elevated temperature is proposed. Finite element method (FEM) simulation and glass molding experiments are conducted to evaluate the improvements of material formability brought about by ultrasonic vibration. The results show that the ultrasonic vibration can significantly lower the friction force and increase the glass formability.
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Shu Wang,Houpu Yang,Jiajia Guo,Miao Liu,Fuzhong Tong,Yingming Cao,Bo Zhou,Peng Liu,Lin Cheng,Fei Xie,Deqi Yang,Jiaqing Zhang 한국바이오칩학회 2011 BioChip Journal Vol.5 No.1
Neo-adjuvant chemotherapy for breast cancer substantially benefits patients who achieve pathological response. However, clinical or pathological response information can only be obtained a period of time after chemotherapy. The identification of novel bio-markers or the application of new technique that can be used to predict treatment response before che-motherapy would allow therapy to be tailored on an individual patient basis. The purpose of this study is to identify the chemo-sensitivity and chemo-resistance related proteins using antibody microarray profiling, and to develop a multi-protein predictive model for breast cancer. Total protein was extracted from core needle biopsy samples obtained from 15 patients before treatment with neo-adjuvant TA(combination of taxanes and anthracycline) chemotherapy. Protein profiling was analyzed by antibody microarray. 10 pati-ents were used as training set to develop the predictive model using the software PAM(prediction analysis of microarray). Another 5 patients were used as a validation set to test the model. In cross-validation, the mole-cular predictive model showed an accuracy of 90%, in independent validation, the model classified the cases with an accuracy of 80%. In conclusion, the proteomic predictive model has the potential to predict pathological response to neo-adjuvant TA chemotherapy.
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