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Journal articles on the topic 'Automated manual transmissions'

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Author: Grafiati

Published: 10 March 2023

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1

Glielmo, L., L. Iannelli, V. Vacca, and F. Vasca. "Gearshift control for automated manual transmissions." IEEE/ASME Transactions on Mechatronics 11, no. 1 (February 2006): 17–26. http://dx.doi.org/10.1109/tmech.2005.863369.

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2

Qi, Xiaowei, Yiyong Yang, Xiangyu Wang, and Zaobei Zhu. "Analysis and optimization of the gear-shifting process for automated manual transmissions in electric vehicles." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 231, no. 13 (January 27, 2017): 1751–65. http://dx.doi.org/10.1177/0954407016685461.

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In recent years, it has been a trend for an automated manual transmission to be adopted as the powertrain for an electric vehicle. However, the strong degrees of jerk and power interruption during the gear-shifting process affect the shifting quality and restrict the application of automated manual transmissions. Therefore, it is a currently popular research topic to find an optimal method to improve the shifting qualities of automated manual transmissions. In this paper, the clutchless shifting process is analysed on the basis of a dynamics model of an automated manual transmission in an electric vehicle, and the parameters are optimized to improve the shifting quality using a defined comprehensive evaluation index. First, the dynamics model of the shifting process for an automated manual transmission is established by considering the stiffness, the damping and the non-linearity contact backlash of the gear mesh and the synchronizer. The whole shifting process is carried out in MATLAB/Simulink and compared with that in the Adams model and bench experiments to prove the accuracy of the dynamics model. Then, the factors of the shifting quality, which include the shifting force and the control accuracy of the speed of the driving motor, are quantified. With the comprehensive evaluation index, all the main factors are described in a cobweb model diagram to find the optimal parameters of the shifting process. The results show that the comprehensive evaluation index can be reduced by 23% by regulating the parameters of the shifting process. This study may be conducive to improving the shifting quality of automated manual transmissions in electric vehicles.

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3

Han, Ki Won, Wan Sik Ryu, Jae Wook Jeon, Hyeon Ki Choi, Hyun Soo Kim, and Sung Ho Hwang. "Performance Evaluation of the Embedded System for Automated Manual Transmissions Using Test Rig." Key Engineering Materials 326-328 (December 2006): 1427–30. http://dx.doi.org/10.4028/www.scientific.net/kem.326-328.1427.

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Drivers are becoming more fatigued and uncomfortable as traffic densities increase, and so, can show slower reaction time. They then face the danger of traffic accidents due to their inability to cope with frequent shifting. To reduce this risk, some drivers prefer automatic transmissions to manual transmissions. However, automatic transmission requires both higher fuel consumptions and costs. For this reason, attention to automated manual transmission that can provide high efficiency, low cost and easy manufacturability has been increasing. In addition, the function and performance of the electronic control unit of automobiles has improved continually and rapidly with the growing electronics technology. The ECU is a representative embedded system in automobiles, which has to satisfy high performance and reliability under the constraints of size and cost. In this paper, the embedded system platform for automobiles is developed on the basis of MPC565, and a test rig is developed to perform the basic function test for automatic clutch actuation. The developed embedded system and clutch control algorithm are validated by the experimental results performed on the test rig.

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4

Munot, Piyush. "Automated Manual Transmissions to Comeback with New Strength." Auto Tech Review 1, no. 9 (September 2012): 12–13. http://dx.doi.org/10.1365/s40112-012-0115-8.

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5

Horn, Joachim, Joachim Bamberger, Peter Michau, and Stephan Pindl. "FLATNESS-BASED CLUTCH CONTROL FOR AUTOMATED MANUAL TRANSMISSIONS." IFAC Proceedings Volumes 35, no. 1 (2002): 361–66. http://dx.doi.org/10.3182/20020721-6-es-1901.01528.

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6

Horn, Joachim, Joachim Bamberger, Peter Michau, and Stephan Pindl. "Flatness-based clutch control for automated manual transmissions." Control Engineering Practice 11, no. 12 (December 2003): 1353–59. http://dx.doi.org/10.1016/s0967-0661(03)00099-6.

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7

Li, Xin, Jidong Lyu, Jinlong Hong, Jinghua Zhao, Bingzhao Gao, and Hong Chen. "MPC-Based Downshift Control of Automated Manual Transmissions." Automotive Innovation 2, no. 1 (February 14, 2019): 55–63. http://dx.doi.org/10.1007/s42154-019-00050-8.

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8

Kim, Wan-Soo, Yong-Joo Kim, Yeon-Soo Kim, Seung-Yun Baek, Seung-Min Baek, Dae-Hyun Lee, Kyu-Chul Nam, Tae-Bum Kim, and Hyo-Jai Lee. "Development of Control System for Automated Manual Transmission of 45-kW Agricultural Tractor." Applied Sciences 10, no. 8 (April 23, 2020): 2930. http://dx.doi.org/10.3390/app10082930.

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This study aims to develop and evaluate an automated manual transmission (AMT) for agricultural tractors with high efficiency and high convenience by using electric actuators. An AMT system to control manual-type shuttle gearboxes and transmissions for tractors is developed by adding a shuttle shifting actuator, a clutch actuator, and a control system to a conventional manual transmission (MT). The clutch actuator is designed using an electric motor and a reduction gear. The AMT control system is developed and experimental tests are conducted to evaluate the performance of the AMT. The results of the performance of the actuator position control demonstrate that the shuttle shifting actuator and clutch actuator are controlled appropriately, achieving a maximum overshoot of less than 5% and 0%, a settling time of less than 0.500 s and 1.50 s, and a steady-state error of less than 1% and 1%, respectively. The performance of the automatic forward and reverse control demonstrates a shift control time of less than 2.50 s and target revolutions per minute (RPM) reaching time of less than 3.00 s. Thus, AMT systems for tractors can be easily developed by applying shuttle shifting actuators, clutch actuators, and a control system to conventional manual transmissions.

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9

Vacca, Fabio, Stefano De Pinto, Ahu Hartavi Karci, Patrick Gruber, Fabio Viotto, Carlo Cavallino, Jacopo Rossi, and Aldo Sorniotti. "On the Energy Efficiency of Dual Clutch Transmissions and Automated Manual Transmissions." Energies 10, no. 10 (October 11, 2017): 1562. http://dx.doi.org/10.3390/en10101562.

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10

Fredriksson, Jonas, and Bo Egardt. "Active engine control for gearshifting in automated manual transmissions." International Journal of Vehicle Design 32, no. 3/4 (2003): 216. http://dx.doi.org/10.1504/ijvd.2003.003562.

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11

Gao, Bingzhao, Xiaohui Lu, Hong Chen, Xintian Lu, and Jun Li. "Dynamics and control of gear upshift in automated manual transmissions." International Journal of Vehicle Design 63, no. 1 (2013): 61. http://dx.doi.org/10.1504/ijvd.2013.055533.

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12

Zhong, Zaimin, Guoling Kong, Zhuoping Yu, Xinbo Chen, Xueping Chen, and Xiangyan Xin. "Concept evaluation of a novel gear selector for automated manual transmissions." Mechanical Systems and Signal Processing 31 (August 2012): 316–31. http://dx.doi.org/10.1016/j.ymssp.2012.02.008.

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13

Förster, Bernd, and Klaus Steinel. "Clutch actuation system ConAct for commercial vehicles with automated manual transmissions." ATZ worldwide 109, no. 2 (February 2007): 18–21. http://dx.doi.org/10.1007/bf03224910.

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14

Mashadi, B., A. Kazemkhani, and R. Baghaei Lakeh. "An automatic gear-shifting strategy for manual transmissions." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 221, no. 5 (August 1, 2007): 757–68. http://dx.doi.org/10.1243/09596518jsce253.

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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 an automated manual transmission are discussed. The gear-shifting strategy was designed by taking into consideration the effects of these parameters, with the application of a fuzzy control method. The controller structure is formed in two layers. In the first layer, two fuzzy inference modules are used to determine the necessary outputs. In the second layer a fuzzy inference module makes the decision of shifting by upshift, downshift, or maintain commands. The behaviour of the fuzzy controller is examined by making use of ADVISOR software. It is shown that at different driving conditions the controllers make correct decisions for gear shifting accounting for the dynamic requirements of the vehicle. It is also shown that the controller based on both the engine state and the driver's intention eliminates unnecessary shiftings that are present when the intention is overlooked. A microtrip is designed in which a required speed in the form of a step function is demanded for the vehicle on level or sloping roads. Both strategies for the vehicle to reach the maximum speed starting from rest allow the gear shift to be made consecutively. Considerable differences are observed between the two strategies in the deceleration phase. The engine-state strategy is less sensitive to downshift, taking even unnecessary upshift decisions. The state intention strategy, however, interprets the driver's intention correctly for decreasing speed and utilizes engine brake torque to reduce the vehicle speed in a shorter time.

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15

Zhang, Lipeng, Haojie Yang, Yunao Peng, and Shaohua Li. "A novel synchronizer for clutchless automated manual transmissions applied in electric vehicles." Mechanism and Machine Theory 170 (April 2022): 104688. http://dx.doi.org/10.1016/j.mechmachtheory.2021.104688.

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16

Moon, S. E., M. S. Kim, H. Yeo, H. S. Kim, S. H. Hwang, H. L. Song, and K. S. Han. "Design and implementation of clutch-by-wire system for automated manual transmissions." International Journal of Vehicle Design 36, no. 1 (2004): 83. http://dx.doi.org/10.1504/ijvd.2004.005322.

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17

Senatore, Adolfo, Carmine D'Auria, and Mario Pisaturo. "Simulations of Engagement Control in Actuated Dry-Clutch: Influence of Frictional Response of Facing Materials." Applied Mechanics and Materials 868 (July 2017): 15–20. http://dx.doi.org/10.4028/www.scientific.net/amm.868.15.

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This paper focuses on the simulation of clutch engagement behavior in automated manual transmissions (AMTs) to virtualize the vehicle start-up maneuver through implementation of the driveline model and the role of transmission control unit featuring different levels of knowledge regarding to clutch material frictional response. Simulation results underline the crucial requirement of accurate prediction of the frictional coefficient evolution in each clutch maneuver, particularly regarding to the interface temperature estimation to develop effective models and control algorithms.

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18

Chen, Zhiqiang, Bangji Zhang, Nong Zhang, Haiping Du, and Guoling Kong. "Optimal preview position control for shifting actuators of automated manual transmission." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 2 (April 11, 2018): 440–52. http://dx.doi.org/10.1177/0954407017745981.

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This paper is concerned with the problem of position tracking control for the motor-driven gear-shift actuating mechanism for electro-mechanical automated manual transmissions (AMT). It is well known that torque interruption is an inherent flaw of AMT. As shift duration directly affects the torque interruption interval, shift quality can be improved by minimizing the duration of the shift. To realize rapid and precise gear-shift control, an optimal discrete-time preview position control scheme is proposed. The proposed control scheme consists of state-feedback control, a discrete integrator, and preview feed-forward control. Instead of the traditional difference method, the state transformation method is utilized to construct the augmented error system such that the augmented system can be kept in a simple form. The H∞ performance index is employed to reduce the effect of the shifting load disturbance during the gear-shifting process. The controller gains are obtained by solving a linear matrix inequality (LMI). Simulation and test bench results all show that the proposed preview control algorithm has better dynamic response and adaptability under different loads compared to the optimal linear quadratic regulator (LQR) controller and the standard PID controller.

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19

Guercioni, Guido Ricardo, and Alessandro Vigliani. "Gearshift control strategies for hybrid electric vehicles: A comparison of powertrains equipped with automated manual transmissions and dual-clutch transmissions." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 11 (October 11, 2018): 2761–79. http://dx.doi.org/10.1177/0954407018804120.

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This article describes gearshift control strategies developed for a series-parallel hybrid electric vehicle architecture in which an electric machine is connected to the output of the transmission, thus obtaining torque filling capabilities during gearshifts. Two transmission systems are analyzed: hybrid automated manual transmission and hybrid dual-clutch transmission. The article focuses on the gearshift control strategies for the two transmission, splitting each gearshift into several phases. The objectives of each control phase, the equations for computing the set points for powertrain actuators, and the conditions that determine the passage from one shifting phase to the next are reported. Moreover, nonlinear dynamic models are described and used to verify through simulation the effectiveness of the controllers. Promising results, in terms of vehicle dynamic performance, are obtained for both transmission systems.

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20

Qin, Hao, Shao Xiong Long, and Kai Yu. "Simulation Research on the Shift Schedule in the Auto with Automated Manual Transmission Based on Cruise Gear Shift Program." Advanced Materials Research 712-715 (June 2013): 2160–63. http://dx.doi.org/10.4028/www.scientific.net/amr.712-715.2160.

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Shift schedule has an important influence on the performances of the auto with automated manual transmission (AMT). It will affect fuel economy, dynamic and emission performance of vehicle. According to the numbers of the control parameters, shift schedule can be roughly divided into threemain categories: single parameter, two parameters, and three parameters schedule.This paper introduces how to simulate and generate the shift schedule in the auto with AMT on the basis of two parameters shift schedule which is widely used in the real auto engineering by using the Gear Shift Program (GSP) module of the Cruise software.The result shows that this method could generate the shift schedule accurately and quickly.These works could be used in the effective calibration of transmissions and shorten thevehicle development cycle.

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21

Sorniotti, Aldo. "Torque Gap Filler for Automated Manual Transmissions: Principles for the Development of the Control Algorithm." SAE International Journal of Engines 2, no. 1 (April 20, 2009): 925–34. http://dx.doi.org/10.4271/2009-01-0952.

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22

Yu, Huilong, Fengqi Zhang, Junqiang Xi, and Dongpu Cao. "Mixed-Integer Optimal Design and Energy Management of Hybrid Electric Vehicles With Automated Manual Transmissions." IEEE Transactions on Vehicular Technology 69, no. 11 (November 2020): 12705–15. http://dx.doi.org/10.1109/tvt.2020.3018445.

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23

Sharifzadeh, Mojtaba, Mario Pisaturo, and Adolfo Senatore. "Real-time identification of dry-clutch frictional torque in automated transmissions at launch condition." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 2-3 (June 27, 2019): 586–98. http://dx.doi.org/10.1177/0954407019857268.

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In this work, a new methodology for online identification of the dry-clutch torque characteristics model in vehicular transmission systems is presented. The proposed approach provides a tool with capability to estimate the clutch torque model parameters directly, using the measurable signals of engine torque and speed within a multiple model predictive control loop, in real time. The first step is to calculate the clutch torque which includes some degree of uncertainty. Then, it is presented an advanced identification approach which is based on trust region and has enough robustness to cover the uncertainty of calculated torque. The structure aims to ensuring a comfortable clutch lock-up by keeping reasonable engagement period and avoiding engine stall. Real-time model simulations in various conditions are also presented to illustrate the superior performance and to demonstrate the effectiveness of the algorithm. The identification method has also been tested on real vehicle equipped with 1.3 L turbocharged diesel engine and six-speed automated manual transmission. Different launch maneuvers have been considered to demonstrate the methodology and promising results have been achieved.

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24

Pisaturo, Mario, and Adolfo Senatore. "Electric Motor and Dry Clutch Control in Launch Manoeuvres of Mild-Hybrid Vehicles Based on AMT/DCT Transmissions." Exchanges: The Interdisciplinary Research Journal 7, no. 1 (October 30, 2019): 65–81. http://dx.doi.org/10.31273/eirj.v7i1.319.

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Mild-Hybrid Electric Vehicles (mild-HEVs) earned market share over the last years an as effective roadmap to limit air pollution in big cities. In addition to this role, hybrid propulsion can be used to avoid dry clutch overheating in mild-HEVs equipped with automated manual transmissions. Indeed, high thermal level could result in serious damaging of dry clutch linings with very fast decay of expected lifespan affecting vehicle reliability. This paper shows results of vehicle launch simulations to highlight how the propulsion due to electric motor can effectively reduce clutch thermal stress during the slipping phase.

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25

Walker, Paul David, Nong Zhang, Wenzhang Zhan, and Bo Zhu. "Modelling and simulation of gear synchronisation and shifting in dual-clutch transmission equipped powertrains." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 2 (May 31, 2012): 276–87. http://dx.doi.org/10.1177/0954406212449550.

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Dual-clutch transmissions have increased in prevalence through the combination of high efficiency and shift quality. This is achieved through the automation of conventional manual transmission synchronisers for gear selection with automated clutch-to-clutch shift control, minimising loss of traction to the road. This article derives a suitably detailed model of a dual-clutch transmission equipped powertrain for the transient simulation and analysis of combined synchroniser engagement and gear shifts. Models are derived for a powertrain equipped with a wet dual-clutch transmission with particular focus on a detailed synchroniser mechanism model, including speed synchronisation, ring unblocking and indexing stages of engagement. To demonstrate the combination of synchroniser engagement with clutch-to-clutch shifting, several simulations are conducted to study the variation of chamfer alignment, vehicle speed and synchroniser engagement timing on powertrain response. Results indicate that vehicle speed and chamfer alignment have only limited impact on the quality of shifting. Synchroniser timing can have a more significant influence on shift quality, stressing the need for independence of these processes.

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26

Pouliot, Gabriel, Marc-Olivier Lacerte, Jean-Sebastien Plante, and Philippe Micheau. "Design of an Eddy Current Torque Bypass Clutch for Seamless Automated Manual Transmissions of Electric and Hybrid Vehicles." SAE International Journal of Alternative Powertrains 4, no. 2 (July 1, 2015): 388–97. http://dx.doi.org/10.4271/2015-01-9143.

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27

Huang, Jianfeng, Jianlong Zhang, and Chengliang Yin. "Comparative study of motor speed synchronization control for an integrated motor–transmission powertrain system." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 4 (July 13, 2019): 1137–52. http://dx.doi.org/10.1177/0954407019862894.

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This paper compares several kinds of methods for motor speed synchronization control, which plays an important role in gear shifting of emerging clutchless automated manual transmissions for battery electric vehicles and other powertrain systems for hybrid electric vehicles. Specifically, four controllers, namely, proportional-integral control, disturbance observer–based proportional control, integral sliding mode–based proportional control, and disturbance observer–based act-and-wait control, are compared in transient responses regarding settling time, overshoot, and steady-state error. Each is formulated by combining one nominal controller for speed tracking and another for disturbance compensation. For disturbance observer–based proportional control, model-based determination of the feedback gain and disturbance observer gain is discussed. Simulations and experiments are carried out to study effects of different controller parameter settings and evaluate performances of different methods under different operation conditions with disturbances and uncertainties like plant parameter drift, communication time delay, unknown load torques, and so on. Based on the results, it is advised that disturbance observer–based proportional control with the reference signal set as the nominal speed trajectory be used in practice, since it comes with merits of few controller parameters to be determined as well as robust, consistent, and satisfactory performances.

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28

Shinar, David, Meir Meir, and Israel Ben-Shoham. "How Automatic Is Manual Gear Shifting?" Human Factors: The Journal of the Human Factors and Ergonomics Society 40, no. 4 (December 1998): 647–54. http://dx.doi.org/10.1518/001872098779649346.

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Manual gear shifting is often used as an example of an automated (vs. controlled) process in driving. The present study provided an empirical evaluation of this assumption by evaluating sign detection and recall performance of novice and experienced drivers driving manual shift and automatic transmission cars in a downtown area requiring frequent gear shifting. The results showed that manual gear shifting significantly impaired sign detection performance of novice drivers using manual gears compared with novice drivers using an automatic transmission, whereas no such differences existed between the two transmission types for experienced drivers. The results clearly demonstrate that manual gear shifting is a complex psychomotor skill that is not easily (or quickly) automated and that until it becomes automated, it is an attention-demanding task that may impair other monitoring aspects of driving performance. Actual or potential applications of this research include a reevaluation of the learning process in driving and the need for phased instruction in driving from automatic gears to manual gears.

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29

Chen, Qi, Yu Cai Zhao, Jian Bo Yin, and Yun Bo Ma. "Automated Mechanical Transmission Technology and Development Trend." Applied Mechanics and Materials 697 (November 2014): 280–84. http://dx.doi.org/10.4028/www.scientific.net/amm.697.280.

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Automated Mechanical Transmission achieves automatic shifting by applying electronic control technology in traditional dry clutch and Manual Transmission,not only having the advantages of automatic transmission, but also keeping the performance of the original manual transmission. This paper generally introduces the function and performance characteristics of Automated Mechanical Transmission, and elaborates its system structure, working principle and key technology. The key technology is divided into 4 parts, including Electronic Control System, Clutch Control, Shift Strategy and Design and Optimization of the Actuator. Combining with the related companies' research and development products, the performance of the Automated Mechanical Transmission is further analyzed. At the same time, according to the current research status in the world, putting forward the following research focus and development trend of Automated Mechanical Transmission.Keywords: Automated Mechanical Transmission; Key Technology; Development Trend

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30

Zemmrich, Thomas. "Automated five-speed manual transmission — Easytronic 3.0." Auto Tech Review 4, no. 9 (September 2015): 34–39. http://dx.doi.org/10.1365/s40112-015-0980-z.

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31

Lucente, Gianluca, Marcello Montanari, and Carlo Rossi. "Modelling of an automated manual transmission system." Mechatronics 17, no. 2-3 (March 2007): 73–91. http://dx.doi.org/10.1016/j.mechatronics.2006.11.002.

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32

Guihe Qin, Ju-Jang Lee, Jiehong Zhao, and Anlin Ge. "Cruise control of automated manual transmission vehicles." Computing and Control Engineering 14, no. 2 (April 1, 2003): 18–21. http://dx.doi.org/10.1049/cce:20030203.

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33

Hedman, A. "Transmission Analysis—Automatic Derivation of Relationships." Journal of Mechanical Design 115, no. 4 (December 1, 1993): 1031–37. http://dx.doi.org/10.1115/1.2919252.

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A method for derivation of relationships for general mechanical transmission systems is given. It is adapted for computer-aided analysis and synthesis of the kinematics, loads, and power flows. Losses are included. All relationships are handled by a computer program. No manual dealing with equations is necessary. The user only describes the transmission systems: (1) The transmission units, e.g., gear transmissions, planetary gear trains, clutches and input shafts. (2) How the shafts of those units are connected. Then, the computer program formulates the relationships, and a computer algebra program performs algebraic eliminations. Symbolic, non-numerical, relationships between speeds and torques of two arbitrary shafts can be derived, e.g., the overall efficiency. Special algorithms handle the power flows in split-power transmissions. The method saves time and eliminates the risk for human errors.

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34

Zhang, Zhi Sen, Hui Jin Xiao, Cheng Fu Yang, Ling Ling, and Bai Hai Wu. "The Synchronous Control of Automated Manual Transmission in Three-Gear Electric Bus." Applied Mechanics and Materials 419 (October 2013): 731–34. http://dx.doi.org/10.4028/www.scientific.net/amm.419.731.

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The system configuration of 3-gear automated manual transmission (AMT) in electric bus was introduced and the rationality and necessity of using 3-gear AMT in electric bus were discussed. The mechanical structure of AMT was built in this paper. According to the evaluation criteria of automatic gear shifting, ed. the shift time and shift jerk, the optimum control strategy of synchronous process was proposed in terms of the principle and method of torque and speed adjustment of main driving motor. The experimental results illustrates that the developed 3-gear synchronous control system can be put into effect. The test results show that the mean shift time is 1.86s (statistical value) and the shift jerk is between ±35m·s-3.

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35

Huang, Hua, and Clemens Gühmann. "Model-based gear-shift optimization for an automated manual transmission." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 12 (December 20, 2018): 3199–208. http://dx.doi.org/10.1177/0954407018817016.

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Gear shift quality is traditionally optimized in a vehicle on the road, through the evaluation of the driver’s perception. This classical human-feedback-based method faces different challenges, such as low reproducibility and high cost. In order to overcome these drawbacks, an innovative automatic virtual calibration framework is proposed in the Model-in-the-Loop environment. The devised framework is composed of a dynamic model of the transmission system, an adaptive gear shift controller, an objective assessment of the gear shift quality, and a multi-objective optimization algorithm. The Pareto-optimal front with multi-conflicting criteria, such as shift time and shift comfort, can be obtained within this framework. In particular, an improved hybrid multi-objective evolutionary algorithm is developed to enhance the optimization performance. The optimization of the shift trajectory for an automated manual transmission synchronization system is implemented as a case study. The obtained optimal shift trajectories are also validated on a transmission test bench.

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36

Prodhan, Ron. "Exhaust Based Automated Manual Transmission System for Vehicles." International Journal of Engineering Trends and Technology 26, no. 3 (August 25, 2015): 164–68. http://dx.doi.org/10.14445/22315381/ijett-v26p228.

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37

Torrelli, Claudio. "The Automated Manual Transmission for the Lamborghini Aventador." ATZ worldwide 114, no. 7-8 (July 2012): 36–39. http://dx.doi.org/10.1007/s38311-012-0190-0.

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38

Zemmrich, Thomas. "New Automated Five-speed Manual Transmission — Easytronic 3.0." ATZ worldwide 117, no. 6 (May 6, 2015): 34–37. http://dx.doi.org/10.1007/s38311-015-0021-1.

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39

Vu, Trieu Minh, Reza Moezzi, Jindrich Cyrus, Jaroslav Hlava, and Michal Petru. "Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle." Energies 14, no. 21 (November 3, 2021): 7256. http://dx.doi.org/10.3390/en14217256.

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Automatic clutch engagement control is essential for all kinds of vehicle power transmissions. The controllers for vehicle power transmissions may include model-based or model-free approaches and must provide high transmission efficiency, fast engagement and low jerk. Most vehicle automatic transmissions are using torque converters with transmission efficiencies up to 96%. This paper presents the use of fuzzy logic control for a dry clutch in parallel hybrid electric vehicles. This controller can minimize the loss of power transmission since it can offer a higher transmission efficiency, up to 99%, with faster engagement, lower jerk and, thus, higher driving comfortability with lower cost. Fuzzy logic control is one of the model-free schemes. It can be combined with AI algorithms, neuro networks and virtual reality technologies in future development. Fuzzy logic control can avoid the complex modelling while maintaining the system’s high stability amid uncertainties and imprecise information. Experiments show that fuzzy logic can reduce the clutch slip and vibration. The new system provides 2% faster engagement speed than the torque converter and eliminates 70% of noise and vibration less than the manual transmission clutch.

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40

Susanto, Novie, and Ratna Purwaningsih. "ANALISIS PENGARUH TRANSMISI MOBIL MANUAL DAN OTOMATIS TERHADAP TINGKAT KESULITAN YANG DIHADAPI PENGEMUDI PEMULA." J@ti Undip : Jurnal Teknik Industri 12, no. 3 (September 22, 2017): 197. http://dx.doi.org/10.14710/jati.12.3.197-204.

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AbstrakMobil yang beredar di pasaran memiliki dua sistem transmisi yang berbeda, yaitu transmisi manual dan otomatis. Pengoperasian dua transmisi tersebut tentunya berbeda secara teknis. Pengoperasian yang salah dapat menyebabkan terjadinya kecelakaan lalu lintas. Penelitian ini bertujuan untuk memberikan rekomendasi strategi khususnya bagi pengemudi pemula berkaitan dengan transmisi yang lebih mudah dalam tahap pembelajaran sehingga dapat meminimalisir resiko terjadinya kecelakaan lalu lintas. Penelitian dilakukan dengan menggunakan simulator mengemudi dengan 8 responden. Pengukuran dikhususkan pada perhitungan error, waktu mengemudi, dan terjadinya kegagalan mengemudi dengan kondisi yang telah ditentukan. Hasil penelitian yang didapatkan dari 6 perlakuan menunjukan bahwa kesalahan yang terjadi pada transmisi otomatis lebih sedikit dibandingkan dengan transmisi manual. Umumnya kesalahan yang terjadi pada kedua transmisi merupakan pelanggaran batas kecepatan dan marka jalan. Transmisi manual secara teknis lebih sulit dioperasikan. Penggunaan kopling dan hand rem yang tidak tepat justru membahayakan pengemudi pemula. Transmisi otomatis dinilai lebih baik dalam meningkatkan keamanan berkendara bagi pengemudi pemula, dikarenakan atensi yang terbagi saat mengemudi lebih sedikit dibandingkan dengan transmisi manual. Abstract [Analysis of Manual And Otomatic Transmission on the Level of the Difficulties Encoutered The Novice Driver] Cars on the market has two different transmission systems, namely manual and automatic transmission. Operation of the two transmissions are different technically. A wrong operation may lead to traffic accidents. This paper presents a strategy, especially for the novice driver with regard to experience an easier learning phase so as to minimize the risk of traffic accidents. An experiment using a driving simulator with 8 respondents is taken into account. Measurements are devoted from the calculation error, driving time, and the failure of driving with a predetermined condition. The results from 6 treatments show that the error occurred in the automatic transmission is less than with a manual transmission. Generally, errors that occur in both the transmission are violation of the speed limit and road markings. The manual transmission is technically more difficult to operate. It uses the clutch and hand brake that if it used unappropriately, it will jeopardize the novice driver. The automatic transmission is considered better in improving road safety for novice drivers, because it contains a less divided attention while driving compared with the manual transmission. Keywords: Transmission, Error, Driving time, Driving Failure, Novice.

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Branisavljević, N., D. Prodanović, and D. Pavlović. "Automatic, semi-automatic and manual validation of urban drainage data." Water Science and Technology 62, no. 5 (September 1, 2010): 1013–21. http://dx.doi.org/10.2166/wst.2010.350.

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Advances in sensor technology and the possibility of automated long distance data transmission have made continuous measurements the preferable way of monitoring urban drainage processes. Usually, the collected data have to be processed by an expert in order to detect and mark the wrong data, remove them and replace them with interpolated data. In general, the first step in detecting the wrong, anomaly data is called the data quality assessment or data validation. Data validation consists of three parts: data preparation, validation scores generation and scores interpretation. This paper will present the overall framework for the data quality improvement system, suitable for automatic, semi-automatic or manual operation. The first two steps of the validation process are explained in more detail, using several validation methods on the same set of real-case data from the Belgrade sewer system. The final part of the validation process, which is the scores interpretation, needs to be further investigated on the developed system.

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He, Xin, Mingming Lin, and Li Xu. "Integrating Gear Shifting Preference into Personalized Shift-Scheduling Calibration." Applied Sciences 11, no. 7 (March 26, 2021): 2986. http://dx.doi.org/10.3390/app11072986.

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Shift-scheduling calibration of automatic transmission (AT) vehicles is vital for both driving experience and automobile industry. Shifting schedules are usually calibrated with the consideration of fuel economy and drivability while neglecting the individual driving preference. In this work, we propose to exemplify the individual shifting preference by integrating the manual transmission (MT) shifting habit into the AT shift-scheduling calibration, where the habit is reflected as the shifting points and is available in most automated manual transmission (AMT) vehicles. The automated calibration of AT shifting schedules is directed by using the particle swarm optimization (PSO), during the virtual automobile cycle test, i.e., FTP-72. Candidate shifting-schedules are generated in the overlapped zone of MT shifting points and the space around the base map, and are evaluated on both shifting quality and fuel economy. Through iterations, the generated candidate shift schedules are tested and assessed until the overall performance reach the optimum. Experimental results are presented to show the effectiveness of the proposed method, which retains the shifting preferences as well as enhances the performance index by about 5%, 4%, and 2% for the drivers with aggressive, moderate, and mild styles, respectively.

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Lucente, G., M. Montanari, and C. Rossi. "HYBRID OPTIMAL CONTROL OF AN AUTOMATED MANUAL TRANSMISSION SYSTEM." IFAC Proceedings Volumes 40, no. 12 (2007): 958–63. http://dx.doi.org/10.3182/20070822-3-za-2920.00159.

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TANAKA, HIROHISA, and HIDEYUKI WADA. "Fuzzy Control of Clutch Engagement for Automated Manual Transmission." Vehicle System Dynamics 24, no. 4-5 (June 1995): 365–76. http://dx.doi.org/10.1080/00423119508969097.

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Yin, Jian Bo, Qi Chen, Yun Bo Ma, and Yv Cai Zhao. "Study on Automated Manual Transmission Fault Diagnosis and Tolerant Control." Applied Mechanics and Materials 697 (November 2014): 344–49. http://dx.doi.org/10.4028/www.scientific.net/amm.697.344.

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This paper discuss the possible fault about AMT. By using the information redundancy between those parts, the faults of sensors and actuators can be found. In addition, the corresponding tolerant is put forward. Based on the fault diagnosis method, Matlab/Simulink mathematical model of engine, clutch and transmission is built. The simulation results show that the model can satisfy the requirement of fault diagnosis, and has certain tolerances.

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Gong, Peng, Jian Min Meng, and Jun Qiang Xi. "Adaptive Control of Synchromesh Shifting Process for Automated Manual Transmission." Advanced Materials Research 455-456 (January 2012): 1132–35. http://dx.doi.org/10.4028/scientific5/amr.455-456.1132.

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Gong, Peng, Jian Min Meng, and Jun Qiang Xi. "Adaptive Control of Synchromesh Shifting Process for Automated Manual Transmission." Advanced Materials Research 455-456 (January 2012): 1132–35. http://dx.doi.org/10.4028/www.scientific.net/amr.455-456.1132.

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It is difficult to gain the ideal effect by using a single control method for shifting process due to many influence factors of synchromesh shifting process in Automated Manual Transmission (AMT). Synchromesh shifting process is divided into two stages. One is stage of eliminating the gap of synchronizer, and the other is the slipping stage of synchromesh. The paper mainly analyses the control process of eliminating the gap of synchronizer. By adopting the adaptive control to reduce the shock of initial shifting stage, it can reduce impact and abrasion wear, and improve the quality of whole shifting process.

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PENG, Jianxin. "Automated Manual Transmission Fault Diagnosis Based on Hybrid System Characteristic." Journal of Mechanical Engineering 48, no. 19 (2012): 72. http://dx.doi.org/10.3901/jme.2012.19.072.

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Abdelaziz, M., and S. Roshdy. "Development of automated manual transmission system using fuzzy logic control." International Journal of Mechatronics and Automation 7, no. 1 (2020): 43. http://dx.doi.org/10.1504/ijma.2020.10030354.

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Roshdy, S., and M. Abdelaziz. "Development of automated manual transmission system using fuzzy logic control." International Journal of Mechatronics and Automation 7, no. 1 (2020): 43. http://dx.doi.org/10.1504/ijma.2020.108187.

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