A Mathematical Model of Multispeed Transmissions in Electric Vehicles in the Presence of Gear Shifting

Setiawan, Yuhanes Dedy; Roozegar, M.; Zou, Ting; Ángeles, Jorge

doi:10.1109/tvt.2017.2744604

Cited by 18 publications

(8 citation statements)

References 34 publications

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“…Since the positive direction of ω 3 has changed, the signs of all the coefficients in the third column of matrix R in (6) need to be changed, as shown in (7). Additionally, the signs of all the coefficients in the third column and in the third row of B ∆ω in (6) need to be changed, as shown in (7). The blue coefficient b 13 belongs to both the third row and the third column of matrix B ∆ω .…”

Section: Modeling a Three-gears Systemmentioning

confidence: 99%

“…The color coding is the same as in (7). According to statement 2), matrix R needs to be updated as follows.…”

Section: Modeling a Three-gears Systemmentioning

confidence: 99%

“…The first power path is fully mechanical, whereas the second includes some mechanical-to-electrical and electricalto-mechanical energy conversion. The mechanical powersplitting device is typically a planetary gear set, which can be of several types: single-stage [7], double-stage [8] or more articulated solutions for specific applications such as Ravigneaux planetary gear sets [9]- [11] and many others.…”

Section: Introductionmentioning

confidence: 99%

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Modeling of Complex Planetary Gear Sets Using Power-Oriented Graphs

Zanasi

Tebaldi

2020

IEEE Trans. Veh. Technol.

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In this paper, a systematic approach for the dynamic modeling of complex planetary gear sets is presented. The approach relies upon a set of rules for building the system matrices and vectors of the system full dynamic model for any planetary gear set. A congruent state-space transformation is applied to obtain a reduced-order rigid model of the system, which allows for faster simulations. The behavior of the tangential forces accounting for the gears interactions is proven to be obtained from the reduced-order model. Furthermore, the kinematic relations of the considered planetary gear set are automatically generated when developing the reduced-order rigid model. As an example, two systems of interest in the vehicle industry are then modeled with the proposed approach and simulated in Matlab/Simulink: a Ravigneaux planetary gear set and a double-stage planetary gear set.

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Section: Modeling a Three-gears Systemmentioning

confidence: 99%

“…The color coding is the same as in (7). According to statement 2), matrix R needs to be updated as follows.…”

Section: Modeling a Three-gears Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling of Complex Planetary Gear Sets Using Power-Oriented Graphs

Zanasi

Tebaldi

2020

IEEE Trans. Veh. Technol.

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“…Due to the fast torque response and the accurate speed regulation capability of the drive motor (DM) [4], [5], the electric vehicle can quickly change gear with the help of the DM [6]. Therefore, clutchless automated mechanical trans-mission (CLAMT) with higher efficiency and lower cost is favored by many researchers [7]- [10]. In recent years, some researchers have proposed eliminating the synchronizer with short service life in CLAMT and directly using the DM to control the angle difference between the sleeve (SL) and the dog gear (DG) in the gear shifting system to realize fast gear shifting [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Analysis of Gear Shifting Process of Non-Synchronizer AMT Based on Collision Model

Luo

2021

IEEE Access

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In the gear shifting process of a clutchless automated mechanical transmission (AMT), the potential collision between sleeve and dog gear may increase both vehicle jerk and gear changing duration. Therefore, the gear shifting process's mechanism analysis and dynamic modeling are the essential prerequisites to improve gear shifting quality. This paper analyzes the potential collision between the sleeve and the dog gear which both with concave-convex profiles, the tooth-side chamfer considered. To model the collision process, a fast-determining collision face method based on an intersection map is proposed, and the Monte Carlo method and equivalent depth are employed to calculate the collision stiffness. Then, the stiffness-damping model of the collision process and an 8-degree-of-freedom dynamic model of the gear-shifting system are established. Finally, taking a two-speed clutchless and non-synchronizer automated mechanical transmission (NSAMT) as an example, the established dynamic model of the gear-shifting system is applied, and simulation verification is performed in Matlab/Simulink. The simulation results show that the established model can accurately reflect the changes of forces, speeds, and displacements of sleeve and dog gears during the collision and effectively reflect processes of the disengagement of the sleeve, the speed changes in active synchronization, the engagement of sleeve and gear keeping. Besides, the results also show that the tooth-side chamfer will increase the disengagement time, while it is conducive to gear keeping, and that unloading the drive motor can decrease the disengagement time due to the existence of the tooth-side chamfer.

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“…Currently, EVs are preferred worldwide owing to zero emissions, low noise, and versatility [4]. Because the electric motor has a wide speed range to match the main reducer, most EVs have no transmission [5]. Hence, the power train is simplified to reduce production costs and volume for improved distribution of different components.…”

mentioning

confidence: 99%

Multi-Objective Optimal Gearshift Control for Multispeed Transmission Electric Vehicles

Liu

Chen

et al. 2020

IEEE Access

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Electric vehicles are being increasingly adopted worldwide to support the sustainable development of society. However, various technologies that are related to electric vehicles still require further investigation. In this study, we consider a gearshift control architecture that combines offline trajectory planning and online control for improved shifting in multispeed transmission electric vehicles. For gearshift trajectory planning, we establish a dynamic model and apply the multi-objective optimization Radau pseudospectral method. Simulations of this method provide a Pareto solution set under three optimization objectives, namely duration, friction work, and jerk, thereby establishing a new approach for satisfying the requirements for shift quality. Moreover, the relations among these objectives are detailed on the Pareto solution set. We conducted a hardware-in-the-loop simulation to verify the performance of the proposed This work is licensed under a Creative Commons Attribution 4.

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A Mathematical Model of Multispeed Transmissions in Electric Vehicles in the Presence of Gear Shifting

Cited by 18 publications

References 34 publications

Modeling of Complex Planetary Gear Sets Using Power-Oriented Graphs

Modeling of Complex Planetary Gear Sets Using Power-Oriented Graphs

Modeling and Analysis of Gear Shifting Process of Non-Synchronizer AMT Based on Collision Model

Multi-Objective Optimal Gearshift Control for Multispeed Transmission Electric Vehicles

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