Enhanced Machine Learning And Data Mining Methods For Analysing Large Hybrid Electric Vehicle Fleets Based On Load Spectrum Data
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Enhanced Machine Learning And Data Mining Methods For Analysing Large Hybrid Electric Vehicle Fleets Based On Load Spectrum Data
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Author : Philipp Bergmeir
language : en
Publisher: Springer
Release Date : 2017-12-01
Enhanced Machine Learning And Data Mining Methods For Analysing Large Hybrid Electric Vehicle Fleets Based On Load Spectrum Data written by Philipp Bergmeir and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-01 with Technology & Engineering categories.
Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to failures of selected components of the hybrid power-train.
Deep Reinforcement Learning Based Energy Management For Hybrid Electric Vehicles
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Author : Li Yeuching
language : en
Publisher: Springer Nature
Release Date : 2022-06-01
Deep Reinforcement Learning Based Energy Management For Hybrid Electric Vehicles written by Li Yeuching and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-01 with Technology & Engineering categories.
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 improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.
Cryptography Codes And Cyber Security
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Author : Abderrahmane Nitaj
language : en
Publisher: Springer Nature
Release Date : 2023-01-01
Cryptography Codes And Cyber Security written by Abderrahmane Nitaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-01 with Computers categories.
This book constitutes the refereed First International Conference on Cryptography, Codes and Cyber Security, I4CS 2022, held in Casablanca, Morocco, during October 27-28, 2022. The 4 full papers and 3 invited papers presented in this book were carefully reviewed and selected from 12 submissions. They were organized in topical sections as invited papers and contributed papers.
Application Of Artificial Intelligence In Hybrid Electric Vehicle Energy Management
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Author : Jili Tao
language : en
Publisher: Elsevier
Release Date : 2024-06-07
Application Of Artificial Intelligence In Hybrid Electric Vehicle Energy Management written by Jili Tao and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-07 with Science categories.
Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process, program code, experimental results, and algorithm performance evaluation are provided.Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management is a valuable reference for anyone involved in the modelling and management of hybrid electric vehicles, and will be of interest to graduate students, researchers, and professionals working on HEVs in the fields of energy, electrical, and automotive engineering. Provides a guide to the modeling and simulation methods of hybrid electric vehicle energy systems, including fuel cell systems Describes the fundamental concepts and theory behind CNN, MPC, fuzzy control, multi objective optimization, fuzzy Q-learning and DDPG Explains how to use energy management methods such as parameter estimation, Q-learning, and pattern recognition, including battery State of Health and State of Charge prediction, and vehicle operating conditions
Method For High Efficiency Data Compression And Transmission Of Vehicle Measurement Data Through Mobile Internet
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Author : Lorenz Georg Görne
language : en
Publisher: Springer Nature
Release Date : 2024-01-30
Method For High Efficiency Data Compression And Transmission Of Vehicle Measurement Data Through Mobile Internet written by Lorenz Georg Görne and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-30 with Technology & Engineering categories.
Lorenz Georg Görne presents a method (PrOComp) for optimal usage of the transmission path between the vehicle and the data backend. The compression ratio of vehicle measurement data could be improved from roughly a factor of ten in conventional methods, to up to 27. The method allows vehicle measurement data to be transmitted optimally in terms of data volume via the mobile internet and via traditional transmission routes. Through the PrOComp method, real-time data analysis over the mobile internet is feasible, as well as the collection of big data in the field. This enables key features like predictive maintenance, reactive event evaluation (for example crash events) or fast generation of AI training data. Through the usage of standardized interfaces and data formats, PrOComp can be adapted to the needs of many industry branches that feature field data collection.
Reinforcement Learning Enabled Intelligent Energy Management For Hybrid Electric Vehicles
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Author : Teng Liu
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2019-09-03
Reinforcement Learning Enabled Intelligent Energy Management For Hybrid Electric Vehicles written by Teng Liu and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-03 with Technology & Engineering categories.
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.
Data Driven Methods Applied To Electric Vehicles Systems Combining Physics Based Approaches
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Author : Francois Dube
language : en
Publisher:
Release Date : 2022
Data Driven Methods Applied To Electric Vehicles Systems Combining Physics Based Approaches written by Francois Dube and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
"Research in artificial intelligence (AI) accelerated in the last decades due to the increasedcomputational power of computers, access to big data and novel AI architectures. One caveatof data-driven methods is the creation of black boxes, which are hard to certify in a regulateddomain, such as the automotive sector. One way to favour this transition is to implementphysics-based learning to favour transfer learning from a physical model into a data-drivenmethod. Two applications of interest presented in this thesis are the control of a clutch in asensor-less transmission and the estimation of a lithium-ion battery's state of health anddegradation modes. A transmission model built with Simulink was used in a BayesianOptimisation in the first application. The outcome produced a command which improved theclutch performance by reducing non-desired effects and accelerating the shifting. This allowedthe creation of multiple input commands, which were tested on the model. In the secondapplication, a Matlab model was created, which allowed the generation of a dataset of agedbatteries. A supervised learning approach allowed the diagnostic and prognostic of thebatteries until the end of their life. The feature extraction task involves deriving the capacityversus the voltage to select prominent peaks from the incremental capacity analysis. Then,the duty cycle was parametrized to increase the accuracy of the predictive model. Resultsshow the viability of the implementation in a digital twin perspective to identify degradationmodes and prognostics features in a cloud-based environment"--
Smart Electric And Hybrid Vehicles
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Author : Ajay Kumar
language : en
Publisher: CRC Press
Release Date : 2024-08-14
Smart Electric And Hybrid Vehicles written by Ajay Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Technology & Engineering categories.
In this book, recent developments, the future outlook, and advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, nature-inspired algorithms, Internet of Things, and the role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical, and simulation modeling, and management techniques to strengthen the engineering science and technological developments for the future. Features: • This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment. • Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles. • Presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles. • Highlights the cyber and functional security of intelligent and hybrid vehicles. • Explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles. • Covers the Internet of Things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.
Fleets Go Green
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Author : Christoph Herrmann
language : en
Publisher: Springer
Release Date : 2018-06-11
Fleets Go Green written by Christoph Herrmann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-11 with Technology & Engineering categories.
The book presents the results of the research project Fleets Go Green from different engineering disciplines. It includes comprehensive empirical data as well as different methods and tools for evaluating and integrating electric vehicles into corporate fleets. Finally, the authors give recommendations for fleet owners, vehicle manufacturers and political decision. The aim of the joint research project Fleets Go Green was the integrated analysis and evaluation of the environmental performance of electric and plug-in-hybrid vehicles in everyday usage on the example of fleet operations. The potential of electric vehicles for reducing the harmful environmental impacts of road transport in everyday conditions can only be analyzed and evaluated in field tests. If electric vehicles should realize their potential to reduce emissions and minimize the consumption of resources, an integrated life cycle assessment is required.
Smart Electric And Hybrid Vehicles
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Author : Ajay
language : en
Publisher:
Release Date : 2024
Smart Electric And Hybrid Vehicles written by Ajay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Automated vehicles categories.
"In this book recent developments, future outlook, advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, Nature inspired algorithms, Internet of Things, role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical and simulation modeling, and management techniques to strengthen the engineering science and technological developments for future. This book: This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment. Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles. Presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles. Highlights the cyber and functional security of intelligent and hybrid vehicles. Explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles. Covers Internet of things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering"--