| 书目名称 | Intelligent Control of Connected Plug-in Hybrid Electric Vehicles |
| 编辑 | Amir Taghavipour,Mahyar Vajedi,Nasser L.‘Azad |
| 视频video | |
| 概述 | Helps the reader in designing procedures to develop and validate control systems.Provides practical examples leading the reader to different energy-optimal control strategies.Demonstrates how intellig |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 描述 | .Intelligent Control of Connected Plug-in Hybrid Electric Vehicles .presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. .Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery deplet |
| 出版日期 | Book 2019 |
| 关键词 | Plug-in Hybrid Electric Vehicle; Connected Vehicle; Trip Planning; Ecological Cruise Control; Intelligen |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-00314-2 |
| isbn_softcover | 978-3-030-13101-2 |
| isbn_ebook | 978-3-030-00314-2Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 19:48:45
