The actual capacity of the battery is an important indicator for calculating the health state and the remaining power-driven mileage. In this paper, an adaptive model algorithm based on equivalent circuit model is used to estimate the capacity of battery. First, a reasonable and effective second-order resistancecapacitance (RC) network equivalent circuit model is established. Second, the adaptive model algorithm based on an equivalent circuit model is employed. The capacity is calculated by the ratio between the accumulated ampere hour (Ah) and state of charge (SOC) difference. The SOC is obtained accurately mainly by the adaptive extended Kalman filter (AEKF). Finally, a comprehensive experimental schedule is designed to acquire the test data and verify the proposed method. The results manifest that after the estimated results tend to be stable, and the absolute error of SOC and capacity estimation are less than 1% and 0.1 Ah, respectively.
{"title":"Lithium-ion Battery Capacity Estimation Based on a Adaptive Model Algorithm With Aging Test","authors":"Zheng Chen, Jiapeng Xiao, Hengjie Hu, Yonggang Liu, Jiangwei Shen, Renxin Xiao","doi":"10.12783/dteees/iceee2019/31815","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31815","url":null,"abstract":"The actual capacity of the battery is an important indicator for calculating the health state and the remaining power-driven mileage. In this paper, an adaptive model algorithm based on equivalent circuit model is used to estimate the capacity of battery. First, a reasonable and effective second-order resistancecapacitance (RC) network equivalent circuit model is established. Second, the adaptive model algorithm based on an equivalent circuit model is employed. The capacity is calculated by the ratio between the accumulated ampere hour (Ah) and state of charge (SOC) difference. The SOC is obtained accurately mainly by the adaptive extended Kalman filter (AEKF). Finally, a comprehensive experimental schedule is designed to acquire the test data and verify the proposed method. The results manifest that after the estimated results tend to be stable, and the absolute error of SOC and capacity estimation are less than 1% and 0.1 Ah, respectively.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89501745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31800
Teng Long, Xiaoyu Li, Jindong Tian, Yong Tian, Lijuan Xiang
As a kind of renewable energy source, lithium ion supercapacitors have bright prospects in national grids, new energy technologies and tram applications. It has the good features of high energy/power density, extremely low resistance, no demand for maintenance and long cycle life. In this paper, we build up the 2ndorder RC equivalent circuit model, which is based on the Thevenin equivalent circuit model. In order to improve the accuracy and stability, and achieve accurate identification of model parameters, such as OCV, R0, Rp1, Rp2, a variable forgetting factor method is introduced into the traditional fixed forgetting factor recursive least squares method. This provides a basic method and reference for the subsequent state estimation and life prediction of lithium ion supercapacitors. The accuracy of the model parameter identification method is verified by the experimental result.
{"title":"Parameter Identification for Lithium Ion Supercapacitor Based on a Modified RLS Method","authors":"Teng Long, Xiaoyu Li, Jindong Tian, Yong Tian, Lijuan Xiang","doi":"10.12783/dteees/iceee2019/31800","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31800","url":null,"abstract":"As a kind of renewable energy source, lithium ion supercapacitors have bright prospects in national grids, new energy technologies and tram applications. It has the good features of high energy/power density, extremely low resistance, no demand for maintenance and long cycle life. In this paper, we build up the 2ndorder RC equivalent circuit model, which is based on the Thevenin equivalent circuit model. In order to improve the accuracy and stability, and achieve accurate identification of model parameters, such as OCV, R0, Rp1, Rp2, a variable forgetting factor method is introduced into the traditional fixed forgetting factor recursive least squares method. This provides a basic method and reference for the subsequent state estimation and life prediction of lithium ion supercapacitors. The accuracy of the model parameter identification method is verified by the experimental result.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77241113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lithium ion supercapacitor is a new type of power supply. It is combined with the characteristics of high energy density of lithium battery and high power of Electrochemical Double Layer Capacitor(EDLC). However, there is little research related to modeling. In this paper, eight equivalent circuit models are used to simulate lithium ion Supercapacitors. Through the analysis of datasets, those eight models are compared in terms of robustness, accuracy and complexity, so as to obtain the best equivalent circuit model of lithium ion supercapacitor under different conditions. This work can provide some guidance for the power management system of electric vehicles using lithium ion supercapacitors and can also serve as a reference for other related work.
{"title":"Comparative Analysis of Lithium ion Supercapacitor Models for Electric Vehicle","authors":"Zhijia Huang, Xiaoyu Li, Jindong Tian, Yong Tian, Lijuan Xiang","doi":"10.12783/dteees/iceee2019/31797","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31797","url":null,"abstract":"Lithium ion supercapacitor is a new type of power supply. It is combined with the characteristics of high energy density of lithium battery and high power of Electrochemical Double Layer Capacitor(EDLC). However, there is little research related to modeling. In this paper, eight equivalent circuit models are used to simulate lithium ion Supercapacitors. Through the analysis of datasets, those eight models are compared in terms of robustness, accuracy and complexity, so as to obtain the best equivalent circuit model of lithium ion supercapacitor under different conditions. This work can provide some guidance for the power management system of electric vehicles using lithium ion supercapacitors and can also serve as a reference for other related work.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80757812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31804
Luyao Liu, Qie Sun, Hailong Li, Qingxi Huang, R. Wennersten
Understanding the volatility dynamics of electricity markets is important in evaluating the deregulation experience and in pricing electricity futures. This paper introduced an approach to portray the volatility of electricity price. We first introduced the Integrated Volatility (IV) and Quadratic Variation (QR) theory to define the volatility. Based on the theories, two nonparametric methods, i.e. Classical Realized Volatility (RV) and Realized Bi-power Volatility (RBV) were adopted to respectively measure the electricity price volatility with half-hour resolution in High-Frequency (HF) environment, using historical data from Victoria, Australia. By comparing the characterizing performance, the RBV method exhibited more superior effect. Next, the paper separated the total volatility into jump and continuous components based on Z jump test and the distinct dynamics of the Jump Volatility (JV) and Continuous Volatility (CV) were also analyzed.
{"title":"Characterizing the Volatility of Wholesale Electricity Spot Prices in Australia","authors":"Luyao Liu, Qie Sun, Hailong Li, Qingxi Huang, R. Wennersten","doi":"10.12783/dteees/iceee2019/31804","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31804","url":null,"abstract":"Understanding the volatility dynamics of electricity markets is important in evaluating the deregulation experience and in pricing electricity futures. This paper introduced an approach to portray the volatility of electricity price. We first introduced the Integrated Volatility (IV) and Quadratic Variation (QR) theory to define the volatility. Based on the theories, two nonparametric methods, i.e. Classical Realized Volatility (RV) and Realized Bi-power Volatility (RBV) were adopted to respectively measure the electricity price volatility with half-hour resolution in High-Frequency (HF) environment, using historical data from Victoria, Australia. By comparing the characterizing performance, the RBV method exhibited more superior effect. Next, the paper separated the total volatility into jump and continuous components based on Z jump test and the distinct dynamics of the Jump Volatility (JV) and Continuous Volatility (CV) were also analyzed.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87396629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31822
Min Xie, Y. Xie, Qiuhong Zhang, Chunwei Zhang, Aihua Dong, Yuwen Shi, Yanjun Zhang
An exergy and exergoeconomic analysis program is improved for the supercritical CO2 (sCO2) cycle with Sodium-cooled Fast Reactor (SFR). The recompression cycle is calculated with sensitivity analyses. And the optimized results with the highest of exergy cycle efficiency are presented. The recompression cycle is well worked with SFR. Based on the sensitivity analysis, with the setting ranges of parameters in this paper, the cycle exergy and energy efficiencies and the cycle total cost rate could affect significantly by the compressor pressure ratio, inlet temperature of main compressor and inlet temperature of turbine. Via the optimization, the exergy cycle efficiency could reach 66.58% outputting 32.50 MW net power. The minimum cycle total cost rate is 2088.88 $/h with the exergy efficiency of 64.72%.
{"title":"Exergy and Exergoeconomic Analyses Based on Recompression Cycle of the Supercritical CO2 Brayton Cycle for Sodium-cooled Fast Reactor","authors":"Min Xie, Y. Xie, Qiuhong Zhang, Chunwei Zhang, Aihua Dong, Yuwen Shi, Yanjun Zhang","doi":"10.12783/dteees/iceee2019/31822","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31822","url":null,"abstract":"An exergy and exergoeconomic analysis program is improved for the supercritical CO2 (sCO2) cycle with Sodium-cooled Fast Reactor (SFR). The recompression cycle is calculated with sensitivity analyses. And the optimized results with the highest of exergy cycle efficiency are presented. The recompression cycle is well worked with SFR. Based on the sensitivity analysis, with the setting ranges of parameters in this paper, the cycle exergy and energy efficiencies and the cycle total cost rate could affect significantly by the compressor pressure ratio, inlet temperature of main compressor and inlet temperature of turbine. Via the optimization, the exergy cycle efficiency could reach 66.58% outputting 32.50 MW net power. The minimum cycle total cost rate is 2088.88 $/h with the exergy efficiency of 64.72%.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86076722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31788
Fang Cao, Cheng Lin, S. Liang, Jian Chen
Since dual-motor driven electric vehicles (DDEVs) can achieve independent and accurate control of the wheel torque, this paper proposes a hierarchical yaw stability control strategy based on model predictive control (MPC) for DDEVs to improve the performance of vehicle yaw stability. A two-degree-of-freedom (2DOF) vehicle dynamic model is developed to calculate the desired vehicle states, which are used as the reference signals in the upper layer controller, based on linear MPC. In the lower layer, a hybrid MPC (hMPC) method is carried out for the torque distribution considering the nonlinear characteristics of the tire longitudinal force and the piecewise linearization of the longitudinal force of the tire is performed. Finally, the proposed strategy is evaluated in Matlab and the results indicate that the suggested hierarchical yaw stability control strategy can significantly improve the vehicle yaw stability.
{"title":"Yaw Stability Control Based on hMPC for Dual-motor Driven Electric Vehicles","authors":"Fang Cao, Cheng Lin, S. Liang, Jian Chen","doi":"10.12783/dteees/iceee2019/31788","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31788","url":null,"abstract":"Since dual-motor driven electric vehicles (DDEVs) can achieve independent and accurate control of the wheel torque, this paper proposes a hierarchical yaw stability control strategy based on model predictive control (MPC) for DDEVs to improve the performance of vehicle yaw stability. A two-degree-of-freedom (2DOF) vehicle dynamic model is developed to calculate the desired vehicle states, which are used as the reference signals in the upper layer controller, based on linear MPC. In the lower layer, a hybrid MPC (hMPC) method is carried out for the torque distribution considering the nonlinear characteristics of the tire longitudinal force and the piecewise linearization of the longitudinal force of the tire is performed. Finally, the proposed strategy is evaluated in Matlab and the results indicate that the suggested hierarchical yaw stability control strategy can significantly improve the vehicle yaw stability.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90878677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31780
Jun Xu, Cheng Peng, X. Mei
In this paper, a novel modularized cell to cell battery balancing system is proposed. Battery energy is able to be transferred from any cell to any other cell in the battery string. Moreover, the balancing system is modularized, which will further reduce the cost of the system. The balancing working principle is analyzed. The components of different balancing systems are analyzed and compared. The balancing circuit simulation is established to validate the proposed method. Simulation results show that the proposed method the modularized cell to cell balancing function is realized.
{"title":"A Modularized Cell to Cell Battery Balancing System","authors":"Jun Xu, Cheng Peng, X. Mei","doi":"10.12783/dteees/iceee2019/31780","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31780","url":null,"abstract":"In this paper, a novel modularized cell to cell battery balancing system is proposed. Battery energy is able to be transferred from any cell to any other cell in the battery string. Moreover, the balancing system is modularized, which will further reduce the cost of the system. The balancing working principle is analyzed. The components of different balancing systems are analyzed and compared. The balancing circuit simulation is established to validate the proposed method. Simulation results show that the proposed method the modularized cell to cell balancing function is realized.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77117869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31756
Meilan Zhou, Mingliang Yang, Xiaogang Wu
DC/DC converter for fuel cell vehicles is required to operate in high voltage gain and wide voltage range conditions, which traditional boost converter is difficult to meet. In this paper, the control strategy of a quasi-zsource boost converter used in fuel cell vehicles is studied. Based on the small signal dynamic modeling method, the double-closed-loop control strategy of voltage and current is adopted. In addition, the input voltage feedforward compensation control strategy is adopted to improve performance in rejecting Input voltage disturbance. A 400W prototype is built for experimental verification. Experimental results show that the proposed input voltage feedforward compensation strategy and double- closed-loop control strategy of voltage and current effectively improve the system dynamic response speed and robustness.
{"title":"Research on Control Strategy of Quasi-Z Source Network DC/DC Converter for Fuel Cell Vehicle","authors":"Meilan Zhou, Mingliang Yang, Xiaogang Wu","doi":"10.12783/dteees/iceee2019/31756","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31756","url":null,"abstract":"DC/DC converter for fuel cell vehicles is required to operate in high voltage gain and wide voltage range conditions, which traditional boost converter is difficult to meet. In this paper, the control strategy of a quasi-zsource boost converter used in fuel cell vehicles is studied. Based on the small signal dynamic modeling method, the double-closed-loop control strategy of voltage and current is adopted. In addition, the input voltage feedforward compensation control strategy is adopted to improve performance in rejecting Input voltage disturbance. A 400W prototype is built for experimental verification. Experimental results show that the proposed input voltage feedforward compensation strategy and double- closed-loop control strategy of voltage and current effectively improve the system dynamic response speed and robustness.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81497919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31795
Zhongyue Zou, Jun Xu, Fan-ming Zeng, X. Mei
To satisfy the high power requirements for accelerating, climbing or running at high speeds, dualmotor driven electric vehicle (EV) is becoming more and more popular. To reduce the high-power influence to the battery life, a hybrid energy storage system (HESS) for dual-motor driven EV is proposed in this paper. Compared with conventional HESS, the proposed method is suitable for dual-motor driven EV, by the additional ultra-capacitor (UC). Different modes of the HESS are able to be realized, and the overall efficiency can be optimized. Moreover, no DC/DC converter is needed in this method, and the cost and the control complexity are reduced. The topology of the HESS is firstly proposed and the working principle is analyzed. The simulation is established to validate the proposed method.
{"title":"A Hybrid Energy Storage System for Dual-Motor Driven Electric Vehicles","authors":"Zhongyue Zou, Jun Xu, Fan-ming Zeng, X. Mei","doi":"10.12783/dteees/iceee2019/31795","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31795","url":null,"abstract":"To satisfy the high power requirements for accelerating, climbing or running at high speeds, dualmotor driven electric vehicle (EV) is becoming more and more popular. To reduce the high-power influence to the battery life, a hybrid energy storage system (HESS) for dual-motor driven EV is proposed in this paper. Compared with conventional HESS, the proposed method is suitable for dual-motor driven EV, by the additional ultra-capacitor (UC). Different modes of the HESS are able to be realized, and the overall efficiency can be optimized. Moreover, no DC/DC converter is needed in this method, and the cost and the control complexity are reduced. The topology of the HESS is firstly proposed and the working principle is analyzed. The simulation is established to validate the proposed method.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73620896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-31DOI: 10.12783/dteees/iceee2019/31778
Wang Wenwei, Li Yiding, Lin Cheng, Zhang Zhipeng, Zuo Fenghao
Based on the analysis of the experimental data for cylindrical lithium-ion battery under mechanical abuse, an equivalent mechanical model of spring-damping parallel unit connects a damping unit in series is proposed in this paper. By combining the equivalent mechanical model with the Crushable-Foam material model, the experiments and simulations on the flat plate tests, rigid rod tests and hemispherical punch tests are performed, the prediction error of the simulation model to the failure displacement is less than 11%. After that, the equivalent mechanical model is analyzed, a soft short-circuit failure prediction model is proposed. A failure warning system is designed according to the prediction model, and the warning system can prompt the soft short-circuit failure of the battery in time and has a certain safety margin.
{"title":"Equivalent Mechanical Model for Cylindrical Lithium-ion Battery Under Mechanical Abuse and Soft Short-circuit Failure Warning","authors":"Wang Wenwei, Li Yiding, Lin Cheng, Zhang Zhipeng, Zuo Fenghao","doi":"10.12783/dteees/iceee2019/31778","DOIUrl":"https://doi.org/10.12783/dteees/iceee2019/31778","url":null,"abstract":"Based on the analysis of the experimental data for cylindrical lithium-ion battery under mechanical abuse, an equivalent mechanical model of spring-damping parallel unit connects a damping unit in series is proposed in this paper. By combining the equivalent mechanical model with the Crushable-Foam material model, the experiments and simulations on the flat plate tests, rigid rod tests and hemispherical punch tests are performed, the prediction error of the simulation model to the failure displacement is less than 11%. After that, the equivalent mechanical model is analyzed, a soft short-circuit failure prediction model is proposed. A failure warning system is designed according to the prediction model, and the warning system can prompt the soft short-circuit failure of the battery in time and has a certain safety margin.","PeriodicalId":11324,"journal":{"name":"DEStech Transactions on Environment, Energy and Earth Sciences","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78530945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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