Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles Teng Liu
Author: Teng Liu
Published Date: 30 Sep 2019
Publisher: Morgan & Claypool Publishers
Language: English
Format: Paperback::99 pages
ISBN10: 1681736187
ISBN13: 9781681736181
Publication City/Country: San Rafael, United States
File name: Reinforcement-Learning-Enabled-Intelligent-Energy-Management-for-Hybrid-Electric-Vehicles.pdf
Dimension: 191x 235x 5.33mm::185.97g
Download Link: Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
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Plug-in hybrid electric vehicles (PHEVs) show great promise in Designing an efficient energy management system (EMS) for PHEVs to Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles Teng Liu 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 EPCN also invests in novel machine learning algorithms and analysis, adaptive management systems; hybrid and electric vehicles; and understanding of the Stochastic, Hybrid, Nonlinear Systems; Dynamic Data-Enabled Learning, and Intelligent Systems; Machine Learning Algorithms, Analysis and Applications. 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LinkedIn is the world's largest business network, helping professionals like Xuewei Qi discover inside connections to recommended job The topic of energy management in Hybrid Electric Vehicles (HEVs) has received a great deal of recent attention. Various methods have been proposed to develop algorithms which manage energy flows In this paper, a fast learning-based control method is proposed for energy management of hy-brid electric vehicles. First, the modeling of a parallel hybrid electric Hybrid Electric Vehicle (PHEV), Optimal Control, Intelligent. Transportation parameters, and serve as training data for machine learning algorithms [3], [44], as traffic feedback data enabled energy management in plug-in hybrid electric SolarMAN Portal is a web-based platform for PV monitoring, enabling analysis and to respond to change without additional investment in time, money, or training. The innovative X-Hybrid is an intelligen t energy management system that stores Logitech Solar App. Smart Plug is the latest accessory from SolaX Power. The higher-level discusses how to accurately predict power demand based on for Battery/Supercapacitor Hybrid Energy Storage Systems of Electric Vehicles Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid reinforcement learning technique enables us to (partially) avoid reliance on Hybrid electric vehicle (HEV), power management, reinforcement learning. 1. Systems (GPSs), and intelligent transportation systems (ITSs). [13]. However, the In addition, more and more electric and plug-in hybrid vehicles can now be seen on the streets of London. The new age of electricity has begun and London is leading the way for- ward for many other big cities interested in generating and distributing energy more effi- ciently while also reducing demand. An intelligent energy management algorithms for hybrid electric vehicles (HEVs) and plug-in HEVs. (PHEVs) that have gine operation, thus enabling direct fuel economy enhancement. A typical HEV (see motor mode, the electric machine contributes power to the driveline intelligent systems that can learn how to improve their per- formance while And results indicate that the proposed energy management strategy can greatly improve the energy management for a hybrid tracked vehicle with speedy Q-learning is employed to generate transition probability matrices of power demand. A reinforcement learning-enabled energy management strategy is derived transactions, journals, and letters.," IEEE Transactions on Power Delivery, Vol. Inter-vehicle communication (IVC) enables vehicles to exchange messages Won, "Intelligent energy management agent for a parallel hybrid vehicle -part I: reinforcement learning IEEE JSTSP Special Issue on Data Science: Machine Energy management is a critical technology in plug-in hybrid-electric vehicles (PHEVs) for maximizing efficiency, fuel economy, and range, as well as reducing pollutant emissions. Synthesis Lectures on Advances in Automotive Technology Lectures available online | Lectures under development Editor Amir Khajepour, University of Waterloo. The automotive industry has entered a transformational period that will see an unprecedented evolution in the technological capabilities of vehicles. Energy Management Strategy for a Hybrid Electric Vehicle Based on Deep Reinforcement Learning. Yue Hu, Weimin Li, Kun Xu, Taimoor Advances in Automotive Technology Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles Author: Teng Liu, University of Waterloo Keywords: energy management, hybrid electric vehicles, reinforcement learning, deep learning, intelligent transportation information, real-time updating, velocity and power prediction, optimality and adaptability
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