Thermal Management of Electric Vehicle Battery Systems


Book Description

Thermal Management of Electric Vehicle Battery Systems provides a thorough examination of various conventional and cutting edge electric vehicle (EV) battery thermal management systems (including phase change material) that are currently used in the industry as well as being proposed for future EV batteries. It covers how to select the right thermal management design, configuration and parameters for the users’ battery chemistry, applications and operating conditions, and provides guidance on the setup, instrumentation and operation of their thermal management systems (TMS) in the most efficient and effective manner. This book provides the reader with the necessary information to develop a capable battery TMS that can keep the cells operating within the ideal operating temperature ranges and uniformities, while minimizing the associated energy consumption, cost and environmental impact. The procedures used are explained step-by-step, and generic and widely used parameters are utilized as much as possible to enable the reader to incorporate the conducted analyses to the systems they are working on. Also included are comprehensive thermodynamic modelling and analyses of TMSs as well as databanks of component costs and environmental impacts, which can be useful for providing new ideas on improving vehicle designs. Key features: Discusses traditional and cutting edge technologies as well as research directions Covers thermal management systems and their selection for different vehicles and applications Includes case studies and practical examples from the industry Covers thermodynamic analyses and assessment methods, including those based on energy and exergy, as well as exergoeconomic, exergoenvironmental and enviroeconomic techniques Accompanied by a website hosting codes, models, and economic and environmental databases as well as various related information Thermal Management of Electric Vehicle Battery Systems is a unique book on electric vehicle thermal management systems for researchers and practitioners in industry, and is also a suitable textbook for senior-level undergraduate and graduate courses.




BPM Everywhere


Book Description

We are entering an entirely new phase of BPM – the era of “BPM Everywhere” or BPME. BPME represents the strategy for leveraging, not simply surviving but fully exploiting the wave of disruption facing every business over the next 5 years and beyond. Without question, one of the single most disruptive events in the last decade was the introduction of the smartphone. Consider for a moment how great of an impact this has had on the relationship between businesses and their customers. Not even the emergence of the Web and Internet-based “digital native” business models can compare with the level of intimacy now available with your customers. In the era of the Internet of Things where smart homes, appliances, cars, phones, virtually imaginable devices are all connected, BPM must, and will, be everywhere. As Peter Whibley discusses in “The Internet of Things Will Be Invisible,” by 2025 there are expected to be more than 26 billion or more connected devices. In the chapter “Digital Prescriptive Maintenance: Disrupting Manufacturing through IoT, Big Data, and Dynamic Case Management,” Dr. Setrag Khoshafian introduces the “4 Vs” of “thing” data, specifically “Volume, Velocity, Variety and Value.” From monitors and remote sensors, to appliances and vehicles, to tens of billions of other “things,” connected devices are generating meaningful and informative data that would easily overwhelm any human being, but collectively they present critical context about processes and the state of operations. “Big Data” has never been so large, nor presented such an acute role within enterprises and the processes that drive them. BPME as well as traditional BPM methods can already be found at the center of this. Its role will grow exponentially. Emergent factors such as process mining (see chapter “Mining the Swarm” by Keith Swenson, et al.) will be critical for uncovering engagement patterns and the need for process management platforms to coordinate interaction and control of smart devices. It is intelligent BPM that is expanding the window of what can be automated, by enabling adaptable automation. The mobile strategies in far too many organizations seem to be the building of apps that presume that customers will use their smartphones like mini laptops. This avoids the fact that we now have a level of intimacy with our customer we've never had before. As discussed in the chapter “BPM to Go – Supporting Business Processes in a Mobile and Sensing World,” our customers are carrying around a device that offers a range of capabilities unlike any laptop. A smartphone produces volumes of meaningful data about our customers (think about the “4Vs”) and is able to interact with that customer in ways that a laptop never can. The growing ubiquity of connectivity always within reach combined with new services and capabilities such as mobile banking is a key part of driving constantly-changing expectations. Yet digital disruption is not limited to mobile devices, and is in fact disrupting everywhere BPM is otherwise found, and why BPM everywhere is becoming the new normal.







Strategy


Book Description

This book provides a step-by-step approach to all of the essential elements of strategy. It outlines a 21-step approach, with a 30+ slide strategy presentation for readers to apply themselves. By following the examples in the book, the reader will be able to construct a world-class strategy and to present it in an effective manner. The approach integrates diagnosis, design, and implementation into one seamless flow from insight to action.







A Vision and Strategy for Rebuilding New Orleans


Book Description




Vision 21


Book Description

Vision 21 reviews the goals of the Department of Energy's (DOE) Vision 21 Program (DOE's vision for the future of coal-based power generation) and to recommend systems and approaches for moving from concept to reality. Vision 21 is an ambitious, forward-looking program for improving technologies and reducing the environmental impacts of using fossil fuels (petroleum, natural gas, and coal) to produce electricity, process heat, transportation fuels, and chemicals.




The Cornell School of Hotel Administration Handbook of Applied Hospitality Strategy


Book Description

This state-of-the-art handbook approaches the topics of hospitality strategy with an emphasis on immediate application of ideas to current practice. Top hospitality scholars make original contributions with the inclusion of senior level executives input, insights and current best practices. By incorporating the latest research and thinking on various strategic topics with the commentary and insights of successful executives this handbook blends cutting edge ideas and comprehensive reviews of the subject with innovative illustrations and examples from practice. The strength of the handbook is its combination of academic rigour and hospitality application. The handbook will have a clear reference orientation and focus on key topical issues and problem of interest to practitioners and advanced students of hospitality strategy.




Computer Vision and Machine Intelligence for Renewable Energy Systems


Book Description

Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier's cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids. - Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systems - Builds knowledge and tools in a systematic manner, from fundamentals to advanced applications - Includes dedicated chapters with case studies and applications for each sustainable energy source