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换挡过程中发动机转矩控制的研究 被引量:9
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作者 高金武 刘志远 Zheng Quan 《汽车工程》 EI CSCD 北大核心 2012年第8期669-674,共6页
根据发动机平均值模型,将节气门开度和点火角作为输入量,充分利用了节气门调节范围大、但响应速度慢,而点火角响应速度快、但调节范围有限的特点,结合控制量分配技术,提出了一种换挡过程的发动机转矩调节策略。在Matlab/Simulink环境下... 根据发动机平均值模型,将节气门开度和点火角作为输入量,充分利用了节气门调节范围大、但响应速度慢,而点火角响应速度快、但调节范围有限的特点,结合控制量分配技术,提出了一种换挡过程的发动机转矩调节策略。在Matlab/Simulink环境下对控制器进行了仿真验证,结果表明,所提出的换挡过程发动机转矩控制策略能有效抑制输出轴的转矩波动,提高换挡舒适性。 展开更多
关键词 发动机转矩控制 换挡品质 平均值模型 控制量分配
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Power Conversion System Strategies for Fuel Cell Vehicles 被引量:1
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作者 Kaushik Rajashekara 《电工电能新技术》 CSCD 北大核心 2005年第1期8-13,44,共7页
Power electronics is an enabling technology for the development of environmental friendly fuel cell vehicles, and to implement the various vehicle electrical architectures to obtain the best performance. In this paper... Power electronics is an enabling technology for the development of environmental friendly fuel cell vehicles, and to implement the various vehicle electrical architectures to obtain the best performance. In this paper, power conversion strategies for propulsion and auxiliary power unit applications are described. The power electronics strategies for the successful development of the fuel cell vehicles are presented. The fuel cell systems for propulsion and for auxiliary power unit applications are also discussed. 展开更多
关键词 电动汽车 PEM APU 燃料电池
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Parameter estimation and reliable fault detection of electric motors 被引量:1
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作者 Dusan PROGOVAC Le Yi WANG George YIN 《Control Theory and Technology》 EI CSCD 2014年第2期110-121,共12页
Accurate model identification and fault detection are necessary for reliable motor control. Motor-characterizing parameters experience substantial changes due to aging, motor operating conditions, and faults. Conseque... Accurate model identification and fault detection are necessary for reliable motor control. Motor-characterizing parameters experience substantial changes due to aging, motor operating conditions, and faults. Consequently, motor parameters must be estimated accurately and reliably during operation. Based on enhanced model structures of electric motors that accommodate both normal and faulty modes, this paper introduces bias-corrected least-squares (LS) estimation algorithms that incorporate functions for correcting estimation bias, forgetting factors for capturing sudden faults, and recursive structures for efficient real-time implementation. Permanent magnet motors are used as a benchmark type for concrete algorithm development and evaluation. Algorithms are presented, their properties are established, and their accuracy and robustness are evaluated by simulation case studies under both normal operations and inter-turn winding faults. Implementation issues from different motor control schemes are also discussed. 展开更多
关键词 Electric machine Parameter estimation Fault detection Brushless direct current (BLDC) motor Bias correction Forgetting factor
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