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Book
Battery Management Algorithm for Electric Vehicles
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ISBN: 981150248X 9811502471 Year: 2020 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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Abstract

This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.


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Battery Management Algorithm for Electric Vehicles
Author:
ISBN: 9789811502484 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book systematically introduces readers to the core algorithms of battery management system (BMS) for electric vehicles. These algorithms cover most of the technical bottlenecks encountered in BMS applications, including battery system modeling, state of charge (SOC) and state of health (SOH) estimation, state of power (SOP) estimation, remaining useful life (RUL) prediction, heating at low temperature, and optimization of charging. The book not only presents these algorithms, but also discusses their background, as well as related experimental and hardware developments. The concise figures and program codes provided make the calculation process easy to follow and apply, while the results obtained are presented in a comparative way, allowing readers to intuitively grasp the characteristics of different algorithms. Given its scope, the book is intended for researchers, senior undergraduate and graduate students, as well as engineers in the fields of electric vehicles and energy storage.


Book
Battery Management Algorithm for Electric Vehicles
Authors: ---
ISBN: 9789811502484 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer


Book
Advanced Energy Storage Technologies and Their Applications (AESA)
Authors: --- ---
ISBN: 3038425451 Year: 2018 Publisher: Basel, Switzerland : MDPI,

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Abstract

The depletion of fossil fuels, the increase of energy demands, and the concerns over climate change are the major driving forces for the development of renewable energy, such as solar energy and wind power. However, the intermittency of renewable energy has hindered the deployment of large-scale intermittent renewable energy, which, therefore, has necessitated the development of advanced large-scale energy storage technologies. The use of large-scale energy storage can effectively improve the efficiency of energy resource utilization, and increase the use of variable renewable resources, the energy access, and the end-use sector electrification (e.g., electrification of transport sector). This Special Issue will provide a platform for presenting the latest research results on the technology development of large-scale energy storage. We welcome research papers about theoretical, methodological and empirical studies, as well as review papers, that provide critical overview on the state of the art of technologies. This special issue is open to all types of energy, such as thermal energy, mechanical energy, electrical energy and chemical energy, using different types of systems, such as phase change materials, batteries, supercapacitors, fuel cells, compressed air, etc., which are applicable to various types of applications, such as heat and power generation, electrical/hybrid transportation, etc.

Multivariate and probabilistic analyses of sensory science problems
Authors: --- ---
ISBN: 9780813801780 0813801788 Year: 2007 Publisher: Oxford Blackwell

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Abstract

Multivariate and Probabilistic Analyses of Sensory Science Problems explains the multivariate and probabilistic methods available to sensory scientists involved in product development or maintenance. The techniques discussed address sensory problems such as panel performance, product profiling, and exploration of consumer data, including segmentation and identifying drivers of liking. Applied in approach and written for non-statisticians, the text is aimed at sensory scientists who deal mostly with descriptive analysis and consumer studies. Multivariate and Probabilistic Analyses of Sensory Science Problems offers simple, easy-to-understand explanations of difficult statistical concepts and provides an extensive list of case studies with step-by-step instructions for performing analyses and interpreting the results.


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The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022)
Authors: --- --- ---
ISBN: 9789819910274 9789819910267 9789819910281 9789819910298 Year: 2023 Publisher: Singapore Springer Nature

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This book includes original, peer-reviewed research papers from the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022), held online, from December 3 to December 4, 2022. The topics covered include but are not limited to energy storage, power and energy systems, electrified/intelligent transportation, batteries and management, and power electronics. The papers share the latest findings in energy storage and intelligent vehicles, making the book a valuable asset for researchers, engineers, university students, etc.

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