Готові списки джерел за темами / Gearshift Control

Добірка наукової літератури з теми "Gearshift Control"

Автор: Grafiati

Опубліковано: 14 березня 2023

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Статті в журналах з теми "Gearshift Control"

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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Анотація:

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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Goetz, M., M. C. Levesley, and D. A. Crolla. "Dynamics and control of gearshifts on twin-clutch transmissions." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 219, no. 8 (August 1, 2005): 951–63. http://dx.doi.org/10.1243/095440705x34720.

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Анотація:

Based on a detailed dynamic model of an automotive powertrain containing a twin-clutch transmission, an integrated powertrain control for gearshifts is developed. The operation of this controller is demonstrated on the basis of simulation results for upshifts, downshifts, and multiple gearshifts taking place within the same half of the transmission. The control algorithm makes use of closed-loop control of clutch slip for a smooth transfer of engine torque with the aim of reproducing the operation of a one-way clutch. Further elements are a closed-loop control of engine speed through a combination of a manipulation of engine controls and clutch pressure. In addition, it is demonstrated that the control of transmission output torque during gearshifts can add robustness to the control and provides a means to manipulate directly the gearshift character. Finally, the dynamic effects of gear preselection through conventional hydraulically actuated cone-type synchronizers on the overall shift quality are discussed.

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Lin, Shusen, Siqin Chang, and Bo Li. "Improving the gearshifts events in automated manual transmission by using an electromagnetic actuator." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 9 (August 3, 2014): 1548–61. http://dx.doi.org/10.1177/0954406214546204.

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Анотація:

The existing electrically automated manual transmission employs DC motors to carry out gearshift events. It is relatively complicated and has potential to be improved both in structure and transmission efficiency. A novel gearshift system that utilizes a 2-DOF electromagnetic actuator to realize the automation of gearshift is proposed. The structure and working principle are introduced, and the coupling system model of the actuator is developed to investigate its characteristics. The results show that the utilization of the electromagnetic actuator in automated manual transmission gearshift system is appropriate. Multi-stage control strategy including PID algorithm and optimal control is introduced to improve the gearshift quality. A look-up table is developed to adjust the peak force of synchronization process according to the working condition. Finally, the conceptual gearshift system and the control strategy are verified on a test bench. The results show that the controller can adjust the peak force of the synchronization process timely and the designed control strategy achieves the compromise of indexes of gearshift quality. The novel gearshift system is technically feasible.

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Lin, Shusen, Min Tang, Bo Li, and Wenhui Shi. "Design of an Improved Active Disturbance Rejection Control Method for a Direct-Drive Gearshift System Equipped with Electromagnetic Linear Actuators in a Motor-Transmission Coupled Drive System." Actuators 12, no. 1 (January 12, 2023): 40. http://dx.doi.org/10.3390/act12010040.

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In this study, a type of direct-drive gearshift system integrated into a motor-transmission coupled drive system is introduced. It used two electromagnetic linear actuators (ELAs) to perform gearshift events. The adoption of ELAs simplifies the architecture of the gearshift system and has the potential to further optimize gearshift performance. However, a number of nonlinearities in the gearshift system should be investigated in order to enhance the performance of the direct-drive gearshift system. An active disturbance rejection control (ADRC) method was selected as the principal shifting control method due to the simple methodology and strong reliability. The nonlinear characteristics of the electromagnetic force produced by the ELA were subsequently reduced using the inverse system method (ISM) technique. The ADRC approach also incorporated an acceleration feedforward module to enhance the precision of displacement control. The extended state observer (ESO) module used a nonlinear function in place of the original function to improve the ability to reject disturbances. Comparative simulations and experiments were carried out between the ADRC method and improved ADRC (IADRC) method. The outcomes demonstrate the effectiveness of the designed control method. The shift force fluctuates less, and the shift jerk decreases noticeably during the synchronization procedure. In conclusion, combined with the optimized IADRC method, the direct-drive gearshift system equipped with ELAs shows remarkable gearshift performance, and it has the potential to be widely used in motor−transmission coupled drive systems for EVs.

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Li, Bo, Wenqing Ge, Xiao Yu, Shilei Shao, and Haitao Liu. "Innovative design and gearshift control for direct-drive electromagnetic gearshift system equipped with servo synchronizer." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 233, no. 5 (March 12, 2018): 1115–24. http://dx.doi.org/10.1177/0954407018760432.

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Анотація:

Automated mechanical transmission has many advantages such as simple structure, high mechanical efficiency, and low cost. But the poor gearshift performance restricts the massive application of the automated mechanical transmission, and it can be improved through innovation of structure and control. To reduce the requirement of shift force and improve the shift performance, a new direct-drive electromagnetic gearshift system which consists of servo synchronizer and 2-degree-of-freedom electromagnetic actuator is adopted. The specific structure and working principle of the gearshift system including servo synchronizer are described, and the equation of force-amplifying ratio is deduced. Due to the complexity of the gearshift system and uncertainties of the gearshift process, active disturbance rejection control method is designed. The active disturbance rejection controller can eliminate the nonlinearity of the 2-degree-of-freedom actuator. The extended state observer can estimate and compensate the uncertainties, parameter variations, and external disturbances. Simulations are carried out, and the result comparison with proportional–integral–derivative controller indicates the superiority of the active disturbance rejection control method. Test bench and control system are developed to verify the performance of the newly designed system and control method. The experimental results show that, when the gearshift system is equipped with servo synchronizer, the driving force and the maximum volatility of driving force can be reduced by 35% and 5%, respectively, and the impact generated by active disturbance rejection control method is reduced by 36% compared with proportional–integral–derivative method. The new gearshift system achieves a better gearshift performance. Combined with the newly designed control strategy, the direct-drive electromagnetic gearshift system provides a new solution for automated mechanical transmission applications.

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Lu, Tongli, Bin Zhou, Jianwu Zhang, and Xiwen Wang. "Clutch micro-slip control in gearshifts for dual clutch transmission." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 233, no. 1 (July 5, 2018): 43–59. http://dx.doi.org/10.1177/1464419318785422.

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Micro-slip control of multi-disc clutches is effective for attenuation of vibration and smooth gearshifts in dual clutch transmission. This paper proposes a method to apply micro-slips on the clutches for gearshift process, which differs from the conventional lockup control. The vehicle powertrain is modelled as a six degrees of freedom dynamic system, including a hydraulic actuator model. Micro-slips of dual clutches are realised by a closed-loop feedback controller according to the control-oriented model. The controller is used to evaluate demands of the clutch torques and transform them to input currents for the hydraulic solenoid valves. Numerical analysis and experiment are preformed, and the results show that the effect of clutch micro-slips is significant in improving the shift smoothness and the drive comfort of the dual clutch transmission during gearshifts.

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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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Ahssan, Md Ragib, Mehran Ektesabi, and Saman Gorji. "Evaluation of a Three-Parameter Gearshift Strategy for a Two-Speed Transmission System in Electric Vehicles." Energies 16, no. 5 (March 6, 2023): 2496. http://dx.doi.org/10.3390/en16052496.

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This paper proposes a three-parameter gearshift scheduling strategy that has been implemented on both large and small electric vehicles with two-speed transmission systems. The new strategy evaluates vehicle performance under varying driving conditions on flat and hilly roads by assessing the vehicle speed, acceleration, and road grade. A heuristic approach is used to develop two gearshift schedules for vehicle acceleration and road grade, and gradient descent and pattern search methods are applied to optimize the gear ratios and primary gearshift schedules. The results show that the proposed gearshift strategy saves 16.5% of energy on hilly roads compared to conventional approaches. Optimal gearshift schedules for acceleration provide more room for second gear operation, while optimized gearshift schedules for the road grade increase the buffer zone for larger vehicles and allow more space for the second gear operating area. The experimental results validate the proposed approach’s performance for both large and small electric vehicles.

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Timofievskiy, A. A. "Control of dynamics of tractor with electronic gearshift control." Izvestiya MGTU MAMI 11, no. 1 (March 15, 2017): 78–88. http://dx.doi.org/10.17816/2074-0530-66938.

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Анотація:

The article deals with control of process of tractor unit acceleration from the standpoint of meeting the requirements imposed on the dynamics of the tractor: the maximum value of the tractor acceleration and the maximum acceleration growth rate. As in the electro-hydraulic shift control the pressure in the switchable friction clutches is controlled by a feedback effected by proportional hydraulic valves, the pressure change process is considered to be exponential. The time constant of this process is defined. It is established that the simultaneous acceptance of the permissible values of the maximum acceleration of the tractor and the maximum growth rate of the acceleration (jerk) determines the calculated value of the time constant of the process of changing the pressure in the included friction clutch during the acceleration period. There were determined the parameters of the calculated acceleration process and the basic values of the pressures in the friction clutches, which are used in the formation of the program for changing the pressure in the clutches when changing gears. From the positions of dynamics and heat losses in friction clutches the influence of the structural difference in the hydraulic schemes of the pressure supply to the clutches and the progress of the tractor acceleration is estimated. Some variants of forming a pressure change program are considered that allow, with unfavorable design characteristics of the pressure supply to the clutches, to meet the requirements for the dynamics of the tractor when shifting gears. The results of calculations performed with the help of the mathematical model of the dynamics of the tractor in the course of gear shifting, the values of the dynamic parameters and the friction work in friction clutches for various characteristics of hydraulic pressure supply systems, or for various programs of pressure change are presented. The analysis of calculation results is carried out; conclusions are drawn and recommendations are given.

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Lin, Shusen, Bo Li, and Weidong Jiao. "Gearshift performance improvement for an electromagnetic gearshift system based on optimized active disturbance rejection control method." Advances in Mechanical Engineering 11, no. 2 (February 2019): 168781401982746. http://dx.doi.org/10.1177/1687814019827465.

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Дисертації з теми "Gearshift Control"

GUERCIONI, GUIDO RICARDO. "Integration of dual-clutch transmissions in hybrid electric vehicle powertrains." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2706035.

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This dissertation presents a study focused on exploring the integration of Dual-Clutch Transmissions (DCTs) in Hybrid Electric Vehicles (HEVs). Among the many aspects that could be investigated regarding the electrification of DCTs, research efforts are undertaken here to the development of control strategies for improving vehicle dynamic performance during gearshifts and the energy management of HEVs. In the first part of the dissertation, control algorithms for upshift and downshift maneuvers are developed for a Plug-in Hybrid Electric Vehicle (PHEV) architecture in which an electric machine is connected to the output of the transmission, thus obtaining torque filling capabilities during gearshifts. Promising results, in terms of the vehicle dynamic performance, are obtained for the two transmission systems analyzed: Hybrid Automated Manual Transmission (H-AMT) and Hybrid Dual-Clutch Transmission (H-DCT). On the other hand, the global optimal solution to the energy management problem for a PHEV equipped with a DCT is found by developing a detailed Dynamic Programing (DP) formulation. The main control objective is to reduce the fuel consumption during a driving mission. Based on the DP results, a novel real-time implementable Energy Management Strategy (EMS) is proposed. The performance of such controller, in terms of the overall fuel usage, is close to that of the optimal solution. Furthermore, the developed approach is shown to outperform a well-known causal strategy: Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). One of the main aspects that differentiates the EMSs proposed here to those presented in previous works is the introduction of a model to estimate the energy consumption during gearshifts in DCTs. Thus, this dissertation illustrates how through the electrification of powertrains equipped with DCTs both the vehicle dynamic performance and the energy consumption can be improved.

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Loepelmann, Peter. "Design and Analysis of an adaptive λ-Tracking Controller for powered Gearshifts in automatic Transmissions". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-163167.

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Анотація:

To meet the continuously increasing goals in vehicle fuel efficiency, a number of measures are taken in automotive powertrain engineering, such as the combination of electric drives and conventional combustion engines in hybrid vehicles or the increase in gear ratios. This development leads to more complex powertrain systems, such as automatic transmissions. At the same time, the need for complex control systems is increased to achieve this desired functionality. Automatic transmissions are controlled by an electro-hydraulic control unit that governs all operations such as gear shifting and starting. Since most of the control software is designed in the form of open-loop control, most of the operations have to be calibrated manually. Thus, there exists a large number of calibration parameters in the control software that have to be tuned individually for each combination of engine, transmission and vehicle model. This process is therefore time-consuming and costly. Hence, it would be advantageous to reduce the need for calibration and in the end shorten the development process for automatic transmissions by reducing software complexity while maintaining functionality and performance. The goal of this thesis is to replace parts of the control software responsible for conducting the gearshifts that require extensive tuning by implementing control systems that have no need for calibration: adaptive high-gain λ-tracking controllers. In order to obtain the control parameters, i.e., the feedback gains, without calibration, an adaption law is implemented that continuously computes these parameters during operation of the controller. Thus, calibration is no longer needed. Since the system has to be high-gain-stabilizable, an extensive system analysis is conducted to determine whether an adaptive λ-tracking controller can be implemented. A nonlinear model of the clutch system dynamics is formulated and investigated. As a result, high-gain stability is proven for the system class and validated in simulation. Following the stability analysis, the devised adaptive controller is implemented into the control software running on the series production transmission control unit. Extensive simulations with a comprehensive vehicle model running the extended transmission software are conducted to design and to test the adaptive controllers and their underlying parameters during transmission operation in order to evaluate the control performance. The control software containing the adaptive controller is then implemented in two distinct vehicles with different automatic transmissions equipped with series production control hardware for the purpose of hardware experiments and validation. The resulting reduction of calibration efforts is discussed.

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Loepelmann, Peter. "Design and Analysis of an adaptive λ-Tracking Controller for powered Gearshifts in automatic Transmissions". Doctoral thesis, 2014. https://tud.qucosa.de/id/qucosa%3A28592.

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Частини книг з теми "Gearshift Control"

Buchbarger, T. "Bondgraphsand Iransmission outpultorque control during gearshifl-lmproved shifl quality and reduced calibration effort for automalic Iransmission control using bond graphs." In Drivetrain for Vehicles 2017, 119–20. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783181023136-119.

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Тези доповідей конференцій з теми "Gearshift Control"

Liu, Zhiyuan, Jinwu Gao, and Quan Zheng. "Gearshift Controller Design for Automatic Transmission." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-5941.

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A gearshift controller for automatic transmission is developed in this paper, which regulates turbine speed to track the desired trajectory and suppresses the output shaft oscillation at the same time by single clutch pressure control. In order to achieve this task, the proposed controller is designed, by integrating backstepping technique and sliding mode output feedback control theory. Simulation of 1–2 upshift is illustrated to verify the validity of the proposed gearshift controller.

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Guercioni, Guido R., Alessandro Vigliani, Enrico Galvagno, and Shawn Midlam-Mohler. "Gearshift control for hybrid powertrains with AMTs." In 2017 International Conference of Electrical and Electronic Technologies for Automotive. IEEE, 2017. http://dx.doi.org/10.23919/eeta.2017.7993202.

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Gao, Jinwu, and Zhiyuan Liu. "Integrated Powertrain Control of Gearshift for Automatic Transmission." In 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2010). IEEE, 2010. http://dx.doi.org/10.1109/pcspa.2010.65.

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Miao, Liying, Xiusheng Cheng, Zhonghua Liu, Xuesong Li, and Xi Liu. "Optimal Control of Gearshift in Automatic Mechanical Transmission." In 2015 International Conference on Automation, Mechanical Control and Computational Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/amcce-15.2015.382.

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Liu, Yonggang, Yougang Wan, Kunyu Yang, Datong Qin, and Minghui Hu. "Real-Time Optimal Control of the Gearshift Schedule for Dual Clutch Transmissions." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97787.

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Abstract In order to improve the fuel economy of vehicles equipped with a dual clutch transmission, this paper proposes a real-time gearshift schedule optimization method based on dynamic programming (DP) and future vehicle speed prediction. The global condition information is necessary for DP algorithm, which makes it difficult to be applied to the real-time control of vehicles. Therefore, BP neural network optimized by genetic algorithm (GA-BP) is utilized to predict future speed information in the research, and the results of speed prediction are introduced into DP problem solving process to realize real-time application of DP optimization in gear decision-making. Simulation results on a fuel vehicle with seven-speed dual clutch transmission using different gear decision-making methods under multiple driving cycles are presented. The results indicate that compared with the case of an empirical economy gearshift strategy, additional fuel can be saved. Furthermore, computational effort for the proposed method is little enough, which guarantees the real-time performance of DP gearshift schedule optimization.

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Szabo, Tomas, Michael Buchholz, and Klaus Dietmayer. "Optimal Control of a Gearshift With a Dual-Clutch Transmission." In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6028.

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This paper presents a model for a heavy duty truck powertrain test rig with a dual-clutch transmission. For this powertrain model, an LQR controller is designed to compute the torque profiles for performing powershifts while both clutches are slipping. Since most of the system states are not measurable, a Kalman-Bucy filter is implemented to estimate the states. The controller and estimation performance will be discussed in detail using both simulation and measurement results.

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Li, Changping, and Mingxin Kang. "A Novel Gearshift Control Method based on Historical Driving Information*." In 2019 3rd Conference on Vehicle Control and Intelligence (CVCI). IEEE, 2019. http://dx.doi.org/10.1109/cvci47823.2019.8951633.

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Liu, Bo, Wei Su, Yunhe Li, and Bocheng Lei. "Design of an Electric Gearshift System Based on FSAE Racing." In 2022 International Conference on Control, Robotics and Informatics (ICCRI). IEEE, 2022. http://dx.doi.org/10.1109/iccri55461.2022.00011.

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Tebaldi, Davide, Manfredi Villani, and Giorgio Rizzoni. "Power-Oriented Gearbox Modeling and Gearshift Strategy Optimization Using Dynamic Programming." In 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022. http://dx.doi.org/10.1109/cdc51059.2022.9993309.

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Van-Nhu Tran, Jimmy Lauber, and Michel Dambrine. "H∞ gearshift control of a dual clutch based on uncertain TS models." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580596.

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