Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery
A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int ,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Huanhuan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019transfer abstract |
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| Schlagwörter: |
Electrochemical-thermal coupled |
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| Übergeordnetes Werk: |
Enthalten in: Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method - Xiao, Hong ELSEVIER, 2013, the international journal on the science and technology of electrochemical energy systems, New York, NY [u.a.] |
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| Übergeordnetes Werk: |
volume:438 ; year:2019 ; day:31 ; month:10 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.jpowsour.2019.226974 |
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ELV047933593 |
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| 520 | |a A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. | ||
| 520 | |a A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. | ||
| 650 | 7 | |a Lithium-ion battery |2 Elsevier | |
| 650 | 7 | |a Multiphysics coupled |2 Elsevier | |
| 650 | 7 | |a Electrochemical-thermal coupled |2 Elsevier | |
| 650 | 7 | |a Thermal characteristic analysis |2 Elsevier | |
| 650 | 7 | |a Parameter optimization |2 Elsevier | |
| 700 | 1 | |a Liu, Chengyang |4 oth | |
| 700 | 1 | |a Saini, Ashwani |4 oth | |
| 700 | 1 | |a Wang, Yaping |4 oth | |
| 700 | 1 | |a Jiang, Haobin |4 oth | |
| 700 | 1 | |a Yang, Tao |4 oth | |
| 700 | 1 | |a Chen, Long |4 oth | |
| 700 | 1 | |a Pan, Chaofeng |4 oth | |
| 700 | 1 | |a Shen, Huaping |4 oth | |
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10.1016/j.jpowsour.2019.226974 doi GBV00000000000758.pica (DE-627)ELV047933593 (ELSEVIER)S0378-7753(19)30967-X DE-627 ger DE-627 rakwb eng 690 VZ 50.92 bkl Li, Huanhuan verfasserin aut Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. Lithium-ion battery Elsevier Multiphysics coupled Elsevier Electrochemical-thermal coupled Elsevier Thermal characteristic analysis Elsevier Parameter optimization Elsevier Liu, Chengyang oth Saini, Ashwani oth Wang, Yaping oth Jiang, Haobin oth Yang, Tao oth Chen, Long oth Pan, Chaofeng oth Shen, Huaping oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:438 year:2019 day:31 month:10 pages:0 https://doi.org/10.1016/j.jpowsour.2019.226974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 438 2019 31 1031 0 |
| spelling |
10.1016/j.jpowsour.2019.226974 doi GBV00000000000758.pica (DE-627)ELV047933593 (ELSEVIER)S0378-7753(19)30967-X DE-627 ger DE-627 rakwb eng 690 VZ 50.92 bkl Li, Huanhuan verfasserin aut Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. Lithium-ion battery Elsevier Multiphysics coupled Elsevier Electrochemical-thermal coupled Elsevier Thermal characteristic analysis Elsevier Parameter optimization Elsevier Liu, Chengyang oth Saini, Ashwani oth Wang, Yaping oth Jiang, Haobin oth Yang, Tao oth Chen, Long oth Pan, Chaofeng oth Shen, Huaping oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:438 year:2019 day:31 month:10 pages:0 https://doi.org/10.1016/j.jpowsour.2019.226974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 438 2019 31 1031 0 |
| allfields_unstemmed |
10.1016/j.jpowsour.2019.226974 doi GBV00000000000758.pica (DE-627)ELV047933593 (ELSEVIER)S0378-7753(19)30967-X DE-627 ger DE-627 rakwb eng 690 VZ 50.92 bkl Li, Huanhuan verfasserin aut Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. Lithium-ion battery Elsevier Multiphysics coupled Elsevier Electrochemical-thermal coupled Elsevier Thermal characteristic analysis Elsevier Parameter optimization Elsevier Liu, Chengyang oth Saini, Ashwani oth Wang, Yaping oth Jiang, Haobin oth Yang, Tao oth Chen, Long oth Pan, Chaofeng oth Shen, Huaping oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:438 year:2019 day:31 month:10 pages:0 https://doi.org/10.1016/j.jpowsour.2019.226974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 438 2019 31 1031 0 |
| allfieldsGer |
10.1016/j.jpowsour.2019.226974 doi GBV00000000000758.pica (DE-627)ELV047933593 (ELSEVIER)S0378-7753(19)30967-X DE-627 ger DE-627 rakwb eng 690 VZ 50.92 bkl Li, Huanhuan verfasserin aut Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. Lithium-ion battery Elsevier Multiphysics coupled Elsevier Electrochemical-thermal coupled Elsevier Thermal characteristic analysis Elsevier Parameter optimization Elsevier Liu, Chengyang oth Saini, Ashwani oth Wang, Yaping oth Jiang, Haobin oth Yang, Tao oth Chen, Long oth Pan, Chaofeng oth Shen, Huaping oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:438 year:2019 day:31 month:10 pages:0 https://doi.org/10.1016/j.jpowsour.2019.226974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 438 2019 31 1031 0 |
| allfieldsSound |
10.1016/j.jpowsour.2019.226974 doi GBV00000000000758.pica (DE-627)ELV047933593 (ELSEVIER)S0378-7753(19)30967-X DE-627 ger DE-627 rakwb eng 690 VZ 50.92 bkl Li, Huanhuan verfasserin aut Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery 2019transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. Lithium-ion battery Elsevier Multiphysics coupled Elsevier Electrochemical-thermal coupled Elsevier Thermal characteristic analysis Elsevier Parameter optimization Elsevier Liu, Chengyang oth Saini, Ashwani oth Wang, Yaping oth Jiang, Haobin oth Yang, Tao oth Chen, Long oth Pan, Chaofeng oth Shen, Huaping oth Enthalten in Elsevier Xiao, Hong ELSEVIER Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method 2013 the international journal on the science and technology of electrochemical energy systems New York, NY [u.a.] (DE-627)ELV00098745X volume:438 year:2019 day:31 month:10 pages:0 https://doi.org/10.1016/j.jpowsour.2019.226974 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 50.92 Meerestechnik VZ AR 438 2019 31 1031 0 |
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Enthalten in Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method New York, NY [u.a.] volume:438 year:2019 day:31 month:10 pages:0 |
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Enthalten in Numerical modeling of wave–current forces acting on horizontal cylinder of marine structures by VOF method New York, NY [u.a.] volume:438 year:2019 day:31 month:10 pages:0 |
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The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. 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coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery |
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Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery |
| abstract |
A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. |
| abstractGer |
A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. |
| abstract_unstemmed |
A 3D electrochemical-thermal coupled finite element analysis (FEA) model is established on COMSOL Multiphysics® software for 40 A h ternary prismatic lithium-ion batteries. The input parameters in this model are current C-rate C, battery thickness Th bat , initial battery ambient temperature T int , positive porous electrode thickness Th pos , positive particle diameter D pos , positive electrode solid phase volume fraction ε 1,pos , respectively. Response surface methodology (RSM) with variance analysis (ANOVA) and parametric scanning is employed for simulating and optimizing the data obtained from the Box-Behnken experimental design based on this model. After that, the optimized parameters are verified to evaluate the reliability of the model on heat generation. The results of response surface optimization show that the optimized model error is less than 0.76% and the final temperature drops is 0.55 K. This novel model is reliable and accurate, which is helpful to improving the electrochemical and thermal performance of the battery. Also, it can provide optimized and feasible solutions for other similar kind of batteries, which offer the reference for design and optimization of the battery management system. |
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Coupling multi-physics simulation and response surface methodology for the thermal optimization of ternary prismatic lithium-ion battery |
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Liu, Chengyang Saini, Ashwani Wang, Yaping Jiang, Haobin Yang, Tao Chen, Long Pan, Chaofeng Shen, Huaping |
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