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Simulation of automobile fuel consumption and emissions for various driver's manual shifting habits 被引量:1
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作者 B.Mashadi Y.Amiri-rad +1 位作者 A.Afkar M.Mahmoodi-kaleybar 《Journal of Central South University》 SCIE EI CAS 2014年第3期1058-1066,共9页
The effects of different habits of the drivers on gear shifting strategies for manual powertrain were investigated. For the realization of simulation, the shifting habits of the drivers were conducted in the Advisor s... The effects of different habits of the drivers on gear shifting strategies for manual powertrain were investigated. For the realization of simulation, the shifting habits of the drivers were conducted in the Advisor software to investigate and compare the emission rates. Simulation was developed based on the optimal gear shifting strategy and criteria and was validated both in fuel economy and emissions by analyzing the results in the various driving cycle and driving styles. To explore an optimal gear shifting strategy with best fuel economy and lowest emission for a manual transmission, a strategy was designed with a highest possible gear criterion as long as the torque requirement can be satisfied. Based on two different criteria, namely the engine working conditions and the driver's intention, the governing parameters in decision making for gear shifting of manual transmission in conventional engine were discussed. It is also shown that the optimum gear shifting strategy is based on that both the engine state and the driver's intention eliminates unnecessary shiftings that are present when the intention is overlooked. The optimum shifting habit and the best driving cycle in terms of minimum emissions and fuel consumption were proposed. 展开更多
关键词 gear shifting strategies driving cycle driver model ADVISOR
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Fault diagnosis of AMT gear shifting process based on semi-quantitative SDG model
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作者 LIU Hai-ou MENG Dong-mei PENG Jian-xin 《Journal of Beijing Institute of Technology》 EI CAS 2016年第3期316-322,共7页
In order to diagnose gear shifting process in automated manual transmission(AMT),a semi-quantitative signed directed graph(SDG)model is applied.Mathematical models are built by analysis of the power train dynamic ... In order to diagnose gear shifting process in automated manual transmission(AMT),a semi-quantitative signed directed graph(SDG)model is applied.Mathematical models are built by analysis of the power train dynamic and the gear shifting control process.The SDG model is built based on related priori knowledge.By calculating the fuzzy membership degree of each compatible passway and its possible fault source,we get the possibilities of failure for each possible fault source.We begin with the nodes with the maximum possibility of failure in order to find the failed part.The diagnosis example shows that it is feasible to use the semi-quantitative SDG model for fault diagnosis of the gear shifting process in AMT. 展开更多
关键词 semi-quantitative signed directed graph(SDG) fault diagnosis gear shifting process automated manual transmission (AMT)
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Shifting Into a New Gear
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作者 LAN XINZHEN 《Beijing Review》 2010年第41期30-31,共2页
China plans to build and sell 5 million hybrid and electric cars by 2020 and is promoting their use The Ministry of Industry and Information Technology(MIIT)is drafting a 10-year plan from 2011 to 2020 for the develop... China plans to build and sell 5 million hybrid and electric cars by 2020 and is promoting their use The Ministry of Industry and Information Technology(MIIT)is drafting a 10-year plan from 2011 to 2020 for the development of energy-efficient and new energy cars. 展开更多
关键词 In shifting Into a New Gear
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Gear downshift control of inverse-automatic mechanical transmission of electric vehicle
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作者 Jinlong Hong Chao Zhang +5 位作者 Hankun Chu Bingzhao Gao Hao Wu Guangjie Wei Hua Liu Fuguo Xu 《Green Energy and Intelligent Transportation》 2022年第1期52-62,共11页
In order to improve the driving dynamics and riding comfort of pure electric vehicles,taking a two-speed I-AMT(Inverse-Automatic Mechanical Transmission)with rear friction clutch as the research object,a gear shift st... In order to improve the driving dynamics and riding comfort of pure electric vehicles,taking a two-speed I-AMT(Inverse-Automatic Mechanical Transmission)with rear friction clutch as the research object,a gear shift strategy,which consists of the open-loop control of the clutch position control and the closed-loop control of the drive motor speed control,is proposed.Considering the inherent time-delay and external disturbances within the motor speed adjustment system,a two DOF(degree-of-freedom)Smith predictor with feedforward input is designed to track the target speed of the drive motor.The feedforward input is used to eliminate the influence of clutch sliding friction on the motor speed control,while the feedback speed tracking controller is applied to realize the speed tracking performance with the existence of time-delay and the external disturbance.In order to verify the effectiveness of the gear shift control strategy and the accuracy of the two DOF Smith controller with feedforward control,simulation results comparison is firstly carried out to illustrate the effectiveness of the control scheme.Then,a light pure electric vehicle equipped with I-AMT was used for downshift experiments under large throttle,which is the most difficult working scenario to control the transmission.The experimental results show that the two DOF Smith controller can eliminate the influence of time-delay on the closed-loop control,and the proposed whole gear shift control strategy can limit the clutch slippage time within 1.5 s,resulting in a smaller shift jerk,thus guarantee the driving dynamics and riding comfort simultaneously. 展开更多
关键词 Gear shift control Pure electric vehicle Inverse-automatic mechanical transmission Two-degree-of-freedom smith controller
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