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The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022)
  • Language: en
  • Pages: 1344

The Proceedings of the 5th International Conference on Energy Storage and Intelligent Vehicles (ICEIV 2022)

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.

Annual Report on the Big Data of New Energy Vehicle in China (2022)
  • Language: en
  • Pages: 348

Annual Report on the Big Data of New Energy Vehicle in China (2022)

This is an Open Access book. This book based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs & charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.

Advanced Battery Management Technologies for Electric Vehicles
  • Language: en
  • Pages: 292

Advanced Battery Management Technologies for Electric Vehicles

A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (...

Annual Report on the Big Data of New Energy Vehicle in China (2021)
  • Language: en
  • Pages: 159

Annual Report on the Big Data of New Energy Vehicle in China (2021)

This open access book, based on static indicators and dynamic big data from local electric vehicles, is the first New-Energy Vehicles (NEVs) research report on the Big Data in China. Using the real-time big data collected by China's National Monitoring and Management Platform for NEVs, this book delves into the main annual technological progress of NEVs, the vehicle operating characteristics, it also anticipates the trend of NEVs industry. Various graphs&charts, detailed data this book offers will familiarize readers with the operation characteristics and practical application of China's NEVs industry and popularize the concept of automobile electrification. Besides, this book also makes an objective evaluation of the current situation and technological improvement of China's NEVs industry, presenting sensible suggestions for the development of the industry. This book is written for government staff, researchers, college staff, and technical staff of automobile and spare parts enterprises, which serves as an important reference for the decision-making of government departments and strategic decisions of automotive companies.

Micro to Quantum Supercapacitor Devices
  • Language: en
  • Pages: 175

Micro to Quantum Supercapacitor Devices

  • Type: Book
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  • Published: 2023-03-31
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  • Publisher: CRC Press

Supercapacitors have established their role as high-power density devices capable of storing energy for multiple cycles; these devices are more plentiful than batteries. This book outlines the fundamentals of charge-storage mechanisms in different configurations of supercapacitors. It describes the supercapacitor-related phenomena, state-of-the-art supercapacitor technologies, design and fabrication of electrodes, supercapacitor materials, macro-supercapacitor, planar supercapacitor, significance of electrode design, merits, demerits of current technologies, and future directions. It also details related physics, including prospective materials and electrode parameters. Features: Provides un...

International Conference on Transportation
  • Language: en
  • Pages: 462

International Conference on Transportation

The main objectives of 2013 International Conference on Transportation (ICTR2013) are to bring together representatives of transportation engineering , of various institutions, universities, industry and professional associations, to debate and exchange experience on important conference topics. Another main objective of ICTR2013 consists of providing a good networking opportunity to all these groups. The ICTR2013 became a major conference to exchang e new ideas of transportation in Asia researchers and provide a form to present their new results in transportation engineering, vehicle operation engineering, transportation planning, traffic information engineering and control, pavement and br...

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
  • Language: en
  • Pages: 90

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books ...

Smart Grids and Internet of Things
  • Language: en
  • Pages: 484

Smart Grids and Internet of Things

SMART GRIDS AND INTERNET OF THINGS Smart grids and the Internet of Things (IoT) are rapidly changing and complicated subjects that are constantly changing and developing. This new volume addresses the current state-of-the-art concepts and technologies associated with the technologies and covers new ideas and emerging novel technologies and processes. Internet of Things (IoT) is a self-organized network that consists of sensors, software, and devices. The data is exchanged among them with the help of the internet. Smart Grids (SG) is a collection of devices deployed in larger areas to perform continuous monitoring and analysis in that region. It is responsible for balancing the flow of energy...

Battery Management Algorithm for Electric Vehicles
  • Language: en
  • Pages: 310

Battery Management Algorithm for Electric Vehicles

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.

Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles
  • Language: en
  • Pages: 123

Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the ...