Powertrain Development With Artificial Intelligence PDF Download
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Author | : Aras Mirfendreski |
Publisher | : Springer Nature |
Total Pages | : 176 |
Release | : 2022-04-04 |
Genre | : Technology & Engineering |
ISBN | : 3662638630 |
Download Powertrain Development with Artificial Intelligence Book in PDF, ePub and Kindle
The variety of future powertrain concepts has drastically increased the development cost for automotive manufactures. Profitable investment requires a significantly leaner and efficient powertrain development process. Traditional methods of test and model based development need to be assisted by big data and data analytics. For this purpose, a valuable tool is available at the right time - artificial intelligence (AI). But what does AI really mean in a narrower sense? What concepts lie behind it? And how are the methods and algorithms transferable to powertrain applications? For the first time, this book aims to bridge the gap between automotive engineering and computer science, by illuminating the complexity of current AI concepts and demystifying it for powertrain applications. By elaborating on work processes, it shows how AI could be implemented and how completely novel methods can help us reshape the future of mobility.
Author | : Teng Liu |
Publisher | : Morgan & Claypool Publishers |
Total Pages | : 99 |
Release | : 2019-09-03 |
Genre | : Technology & Engineering |
ISBN | : 1681736195 |
Download Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles Book in PDF, ePub and Kindle
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 about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.
Author | : Haoran Hu |
Publisher | : SAE International |
Total Pages | : 448 |
Release | : 2021-04-14 |
Genre | : Technology & Engineering |
ISBN | : 1468601377 |
Download Advanced Hybrid Powertrains for Commercial Vehicles Book in PDF, ePub and Kindle
Powertrains for commercial vehicles have evolved since the late nineteenth-century invention of the ICE. In the revised second edition of Advanced Hybrid Powertrains for Commercial Vehicles, the authors explore commercial powertrains through history from the ICE through the introduction of the hybrid powertrain in commercial vehicles. Readers are given an understanding of the ICE as well as the classification of commercial vehicle hybrid powertrains, the variety of energy storage systems, fuel-cell hybrid powertrain systems, and commercial vehicle electrification. The authors review the legislation of vehicle emissions and the regulation necessary to promote the production of fuel-efficient vehicles.
Author | : Yong Chen |
Publisher | : Springer Nature |
Total Pages | : 461 |
Release | : 2023-06-15 |
Genre | : Technology & Engineering |
ISBN | : 9811995664 |
Download New Energy Vehicle Powertrain Technologies and Applications Book in PDF, ePub and Kindle
This book focuses on transmission systems for pure electric and hybrid vehicles. It first discusses system development and optimization technologies, comprehensively and systematically describing the development trends, structures and technical characteristics, as well as the related technologies and methods. It highlights the principles, implementation process and energy management of the power transmission system based on the pure electric and hybrid mode management method, and examines the reliability and NVH characteristic tests and optimization technologies. Combining research theory and engineering practice, the book is a valuable reference resource for engineering and technical professionals in the field of automobile and related power transmission machinery as well as undergraduate and graduate students.
Author | : Tigran Parikyan |
Publisher | : Springer Nature |
Total Pages | : 417 |
Release | : 2022-03-29 |
Genre | : Technology & Engineering |
ISBN | : 3030918696 |
Download Advances in Engine and Powertrain Research and Technology Book in PDF, ePub and Kindle
The book covers a wide range of applied research compactly presented in one volume, and shows innovative engineering solutions for automotive, marine and aviation industries, as well as power generation. While targeting primarily the audience of professional scientists and engineers, the book can also be useful for graduate students, and also for all those who are relatively new to the area and are looking for a single source with a good overview of the state-of-the-art as well as an up-to-date information on theories, numerical methods, and their application in design, simulation, testing, and manufacturing. The readers will find here a rich mixture of approaches, software tools and case studies used to investigate and optimize diverse powertrains, their functional units and separate machine parts based on different physical phenomena, their mathematical representation, solution algorithms, and experimental validation.
Author | : Julian Happian-Smith |
Publisher | : Elsevier |
Total Pages | : 602 |
Release | : 2001 |
Genre | : Design |
ISBN | : 0750650443 |
Download An Introduction to Modern Vehicle Design Book in PDF, ePub and Kindle
An Introduction to Modern Vehicle Design starts from basic principles and builds up analysis procedures for all major aspects of vehicle and component design. Subjects of current interest to the motor industry - such as failure prevention, designing with modern material, ergonomics, and control systems - are covered in detail, with a final chapter discussing future trends in automotive design. Extensive use of illustrations, examples, and case studies provides the reader with a thorough understanding of design issues and analysis methods.
Author | : Clemens Gühmann |
Publisher | : |
Total Pages | : |
Release | : 2017 |
Genre | : |
ISBN | : 9783816983811 |
Download Automotive Data Analytics, Methods and Design of Experiments (DoE) Book in PDF, ePub and Kindle
Author | : Angalaeswari, S. |
Publisher | : IGI Global |
Total Pages | : 363 |
Release | : 2023-02-10 |
Genre | : Technology & Engineering |
ISBN | : 1668466333 |
Download Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles Book in PDF, ePub and Kindle
In today’s modern society, to reduce the carbon dioxide gas emission from motor vehicles and to save mother nature, electric vehicles are becoming more practical. As more people begin to see the benefits of this technology, further study on the challenges and best practices is required. Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles focuses on the integration of renewable energy sources with the existing grid, introduces a power exchange scenario in the prevailing power market, considers the use of the electric vehicle market for creating cleaner and transformative energy, and optimizes the control variables with artificial intelligence techniques. Covering key topics such as artificial intelligence, smart grids, and sustainable development, this premier reference source is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.
Author | : Mukhdeep Singh Manshahia |
Publisher | : Springer Nature |
Total Pages | : 302 |
Release | : 2023-06-14 |
Genre | : Technology & Engineering |
ISBN | : 3031264967 |
Download Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy Book in PDF, ePub and Kindle
This book provides readers with emerging research that explores the theoretical and practical aspects of implementing new and innovative artificial intelligence (AI) techniques for renewable energy systems. The contributions offer broad coverage on economic and promotion policies of renewable energy and energy-efficiency technologies, the emerging fields of neuro-computational models and simulations under uncertainty (such as fuzzy-based computational models and fuzzy trace theory), evolutionary computation, metaheuristics, machine learning applications, advanced optimization, and stochastic models. This book is a pivotal reference for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in artificial intelligence, renewable energy systems, and energy autonomy.
Author | : Jihad Badra |
Publisher | : Elsevier |
Total Pages | : 262 |
Release | : 2022-01-05 |
Genre | : Technology & Engineering |
ISBN | : 032388458X |
Download Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines Book in PDF, ePub and Kindle
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design. Provides AI/ML and data driven optimization techniques in combination with Computational Fluid Dynamics (CFD) to optimize engine combustion systems Features a comprehensive overview of how AI/ML techniques are used in conjunction with simulations and experiments Discusses data driven optimization techniques for fuel formulations and vehicle control calibration