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Titlebook: Optimal Control of Hybrid Vehicles; Bram Jager,Thijs Keulen,John Kessels Book 2013 Springer-Verlag London 2013 Energy Management.Hybrid Po

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發(fā)表于 2025-3-21 18:56:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Optimal Control of Hybrid Vehicles
編輯Bram Jager,Thijs Keulen,John Kessels
視頻videohttp://file.papertrans.cn/703/702830/702830.mp4
概述Provides engineers in the automotive industry with practical applications of power train control for hybrid vehicles.For the academic researcher, the text describes a novel solution for state-constrai
叢書(shū)名稱(chēng)Advances in Industrial Control
圖書(shū)封面Titlebook: Optimal Control of Hybrid Vehicles;  Bram Jager,Thijs Keulen,John Kessels Book 2013 Springer-Verlag London 2013 Energy Management.Hybrid Po
描述Optimal Control of Hybrid Vehicles provides a description of power train control for hybrid vehicles. The background, environmental motivation and control challenges associated with hybrid vehicles are introduced. The text includes mathematical models for all relevant components in the hybrid power train. The power split problem in hybrid power trains is formally described and several numerical solutions detailed, including dynamic programming and a novel solution for state-constrained optimal control problems based on the maximum principle. .Real-time-implementable strategies that can approximate the optimal solution closely are dealt with in depth. Several approaches are discussed and compared, including a state-of-the-art strategy which is adaptive for vehicle conditions like velocity and mass. .Three case studies are included in the book: .? a control strategy for a micro-hybrid power train; .? experimental results obtained with a real-time strategy implemented in a hybrid electric truck; and .? an analysis of the optimal component sizes for a hybrid power train. .Optimal Control of Hybrid Vehicles will appeal to academic researchers and graduate students interested in hybrid v
出版日期Book 2013
關(guān)鍵詞Energy Management; Hybrid Power Systems; Hybrid Vehicles; Optimal Control; Pontryagin’s Maximum Principl
版次1
doihttps://doi.org/10.1007/978-1-4471-5076-3
isbn_softcover978-1-4471-5988-9
isbn_ebook978-1-4471-5076-3Series ISSN 1430-9491 Series E-ISSN 2193-1577
issn_series 1430-9491
copyrightSpringer-Verlag London 2013
The information of publication is updating

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發(fā)表于 2025-3-21 22:12:44 | 只看該作者
Numerical Solutions for Known Trajectories,ical solution methods are pursued: an indirect method that uses the necessary conditions for optimality obtained with Pontryagin’s Minimum Principle, and a direct method using the Dynamic Programming algorithm which is based on Bellman’s Principle of Optimality. Both methods are illustrated with an example.
板凳
發(fā)表于 2025-3-22 03:30:03 | 只看該作者
Real-Time Implementable Strategies, engine and electric machine as control variable. Hereby taking into account only real-time available information such as the gas pedal position, the state-of-energy of the battery, vehicle velocity, and possibly road slope.
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發(fā)表于 2025-3-22 05:22:47 | 只看該作者
978-1-4471-5988-9Springer-Verlag London 2013
5#
發(fā)表于 2025-3-22 08:46:29 | 只看該作者
Optimal Control of Hybrid Vehicles978-1-4471-5076-3Series ISSN 1430-9491 Series E-ISSN 2193-1577
6#
發(fā)表于 2025-3-22 13:09:33 | 只看該作者
Bram Jager,Thijs Keulen,John KesselsProvides engineers in the automotive industry with practical applications of power train control for hybrid vehicles.For the academic researcher, the text describes a novel solution for state-constrai
7#
發(fā)表于 2025-3-22 18:02:35 | 只看該作者
Advances in Industrial Controlhttp://image.papertrans.cn/o/image/702830.jpg
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發(fā)表于 2025-3-23 00:38:36 | 只看該作者
https://doi.org/10.1007/978-1-4471-5076-3Energy Management; Hybrid Power Systems; Hybrid Vehicles; Optimal Control; Pontryagin’s Maximum Principl
9#
發(fā)表于 2025-3-23 02:58:15 | 只看該作者
Experimental Case Studies, standard computational unit of the vehicle, which is possible by using a map-based approach. The experimental results show that the implementation of the optimal strategy is feasible and that this strategy achieves a better fuel economy than the built-in rule-based strategy.
10#
發(fā)表于 2025-3-23 08:10:17 | 只看該作者
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