| 书目名称 | Energy Efficient Non-Road Hybrid Electric Vehicles |
| 副标题 | Advanced Modeling an |
| 编辑 | Johannes Unger,Marcus Quasthoff,Stefan Jakubek |
| 视频video | |
| 概述 | Maximizes reader insights into the main problems in the.real-time control of parallel hybrid electric powertrains in non-road.applications working in continuous high dynamic operation.Analyzes an ener |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .This book analyzes the main problems in the real-timecontrol of parallel hybrid electric powertrains in non-road applications thatwork in continuous high dynamic operation. It also provides practical insightsinto maximizing the energy efficiency and drivability of such powertrains...It introduces anenergy-management control structure, which considers all the physicalpowertrain constraints and uses novel methodologies to predict the future loadrequirements to optimize the controller output in terms of the entire workcycle of a non-road vehicle. The load prediction includes a methodology forshort-term loads as well as cycle detection methodology for an entire loadcycle. In this way, the energy efficiency can be maximized, and fuelconsumption and exhaust emissions simultaneously reduced...Readers gain deepinsights into the topics that need to be considered in designing an energy andbattery management system for non-road vehicles. It also becomes clear thatonly a combination of management systems can significantly increase theperformance of a controller.. |
| 出版日期 | Book 2016 |
| 关键词 | Non-road hybrid electric vehicle (HEV); Model predictive control; Nonlinear system identification; Opti |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-29796-5 |
| isbn_softcover | 978-3-319-29795-8 |
| isbn_ebook | 978-3-319-29796-5Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2016 |
发表于 2025-3-21 17:31:30
