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Condition Monitoring of Lithium-ion Batteries Providing Grid Services
As the global community grapples with issues of climate change and energy security, sustainable energy solutions become an imperative need for modern society. While renewables like wind and solar promise sustainable solutions, the intermittency of power generation and the spatio-temporal mismatch between energy supply and demand creates challenges for energy system design and operation. To counteract these, the battery energy storage system (BESS) is pivotal in maintaining grid stability. Furthermore, battery applications have grown significantly in all sectors in the trend of energy transition, including electric vehicles (EVs), electric two and three-wheelers, and consumer electronics. The battery state estimation and performance prediction have been of great concern whenever the batteries are used. This thesis offers comprehensive studies on grid-connected BESS applications, battery health modeling, and real-world battery monitoring and inspection. Despite recent advancements, batteries are under the challenge of fluctuating usage patterns, complex operating environments, and erratic health dynamics. Therefore, our research accentuates the usage patterns of batteries through usage-based assessments. By harnessing state-of-the-art data-driven methodologies and analyzing battery operation records from various sectors, we elevate battery health research to greater applicability and precision. Moving beyond traditional physics-based modeling, data-driven techniques offer insights into battery health development in various conditions, bridging laboratory experimental research with industrial applications. Structured across five chapters, the work covers the introduction, BESS in power systems, data-driven battery health modeling, real-world battery health prognosis, and a conclusion. First, a comprehensive overview of BESS application and integration in the power system over the last ten years is given, emphasizing the usage pattern assessment. Insights from our BESS development in DTU are shared by showing ...
Condition Monitoring of Lithium-ion Batteries Providing Grid Services
As the global community grapples with issues of climate change and energy security, sustainable energy solutions become an imperative need for modern society. While renewables like wind and solar promise sustainable solutions, the intermittency of power generation and the spatio-temporal mismatch between energy supply and demand creates challenges for energy system design and operation. To counteract these, the battery energy storage system (BESS) is pivotal in maintaining grid stability. Furthermore, battery applications have grown significantly in all sectors in the trend of energy transition, including electric vehicles (EVs), electric two and three-wheelers, and consumer electronics. The battery state estimation and performance prediction have been of great concern whenever the batteries are used. This thesis offers comprehensive studies on grid-connected BESS applications, battery health modeling, and real-world battery monitoring and inspection. Despite recent advancements, batteries are under the challenge of fluctuating usage patterns, complex operating environments, and erratic health dynamics. Therefore, our research accentuates the usage patterns of batteries through usage-based assessments. By harnessing state-of-the-art data-driven methodologies and analyzing battery operation records from various sectors, we elevate battery health research to greater applicability and precision. Moving beyond traditional physics-based modeling, data-driven techniques offer insights into battery health development in various conditions, bridging laboratory experimental research with industrial applications. Structured across five chapters, the work covers the introduction, BESS in power systems, data-driven battery health modeling, real-world battery health prognosis, and a conclusion. First, a comprehensive overview of BESS application and integration in the power system over the last ten years is given, emphasizing the usage pattern assessment. Insights from our BESS development in DTU are shared by showing ...
Condition Monitoring of Lithium-ion Batteries Providing Grid Services
Zhao, Chunyang (Autor:in)
01.01.2023
Zhao , C 2023 , Condition Monitoring of Lithium-ion Batteries Providing Grid Services . Technical University of Denmark , Kongens Lyngby .
Buch
Elektronische Ressource
Englisch
/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy , /dk/atira/pure/sustainabledevelopmentgoals/climate_action , name=SDG 13 - Climate Action , name=SDG 7 - Affordable and Clean Energy , name=SDG 3 - Good Health and Well-being , /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
DDC:
690
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