The principal outcome of the research is to deliver experimental and modelling framework targeted for both EV and next-generation smart grid application developer. The results of the research assist in providing a correct datasheet for a battery cell. It is a result of an experimental framework that is comprised of systematic performance assessment methodology. The method is generic, so it applies to all Li-ion battery cell with necessary adaptation. The research aspires to answer whether the ultimate optimal battery selection from different options is achievable or not. To accomplish the goal, both experimentation and modelling approach are employed—each one represents distinct benefits with relative advantages. This is largely possible as an advanced multiphysics modelling method is used. It is complemented by meticulous measurements using the unique isothermal calorimetric technique. Using the developed methodology, it enables to determine how the current input affects the heat flux generation inside a battery cell and how it is possible to find the key performance indicator (KPI) efficiency.
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Mohammad Rezwan Khan received his PhD from the Department of Energy Technology, Aalborg University, Denmark. He previously worked on MOBI research group, VUB and VITO, Belgium. His current research focuses include various characteristics and optimisations of the battery system.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The principal outcome of the research is to deliver experimental and modelling framework targeted for both EV and next-generation smart grid application developer. The results of the research assist in providing a correct datasheet for a battery cell. It is a result of an experimental framework that is comprised of systematic performance assessment methodology. The method is generic, so it applies to all Li-ion battery cell with necessary adaptation. The research aspires to answer whether the ultimate optimal battery selection from different options is achievable or not. To accomplish the goal, both experimentation and modelling approach are employed-each one represents distinct benefits with relative advantages. This is largely possible as an advanced multiphysics modelling method is used. It is complemented by meticulous measurements using the unique isothermal calorimetric technique. Using the developed methodology, it enables to determine how the current input affects the heat flux generation inside a battery cell and how it is possible to find the key performance indicator (KPI) efficiency. 84 pp. Englisch. Seller Inventory # 9786202006057
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Mohammad RezwanMohammad Rezwan Khan received his PhD from the Department of Energy Technology, Aalborg University, Denmark. He previously worked on MOBI research group, VUB and VITO, Belgium. His current research focuses include. Seller Inventory # 159121847
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The principal outcome of the research is to deliver experimental and modelling framework targeted for both EV and next-generation smart grid application developer. The results of the research assist in providing a correct datasheet for a battery cell. It is a result of an experimental framework that is comprised of systematic performance assessment methodology. The method is generic, so it applies to all Li-ion battery cell with necessary adaptation. The research aspires to answer whether the ultimate optimal battery selection from different options is achievable or not. To accomplish the goal, both experimentation and modelling approach are employed¿each one represents distinct benefits with relative advantages. This is largely possible as an advanced multiphysics modelling method is used. It is complemented by meticulous measurements using the unique isothermal calorimetric technique. Using the developed methodology, it enables to determine how the current input affects the heat flux generation inside a battery cell and how it is possible to find the key performance indicator (KPI) efficiency.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Seller Inventory # 9786202006057
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The principal outcome of the research is to deliver experimental and modelling framework targeted for both EV and next-generation smart grid application developer. The results of the research assist in providing a correct datasheet for a battery cell. It is a result of an experimental framework that is comprised of systematic performance assessment methodology. The method is generic, so it applies to all Li-ion battery cell with necessary adaptation. The research aspires to answer whether the ultimate optimal battery selection from different options is achievable or not. To accomplish the goal, both experimentation and modelling approach are employed-each one represents distinct benefits with relative advantages. This is largely possible as an advanced multiphysics modelling method is used. It is complemented by meticulous measurements using the unique isothermal calorimetric technique. Using the developed methodology, it enables to determine how the current input affects the heat flux generation inside a battery cell and how it is possible to find the key performance indicator (KPI) efficiency. Seller Inventory # 9786202006057
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Taschenbuch. Condition: Neu. Thermal Management of Battery Systems in EV and Smart Grid Application | Mohammad Rezwan Khan | Taschenbuch | 84 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202006057 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 109579833