Pseudo-spectral optimisation of smooth shift control strategy for a two-speed transmission for electric vehicles

2019 ◽  
Vol 58 (4) ◽  
pp. 604-629 ◽  
Author(s):  
Weichen Wang ◽  
Junqiu Li ◽  
Fengchun Sun
2011 ◽  
Vol 88-89 ◽  
pp. 128-133 ◽  
Author(s):  
Hong Bo Liu ◽  
Yu Long Lei ◽  
Yu Zhang ◽  
Xiao Lin Zhang ◽  
You De Li

With ever increasing concerns on energy shortage and environment protection, the development of the battery electric vehicles (BEVs) has taken on an accelerated pace. In this paper, firstly, an AMT (Automatic Mechanical Transmission) without clutch and synchronizer used in battery electric bus is introduced. Then, the dynamics models of the shift process are created, and the factors that affect the shift performance are discussed. Finally, the AMT shift control strategy is designed and applied in the field buses. The on-road tests results show that the shift control strategy is valid and reliable, which meets the vehicle comfort and power requirements.


Author(s):  
Xiaohua Zeng ◽  
Zhenwei Wang ◽  
Dafeng Song ◽  
Dongpo Yang

The coordination control of a transmission system has gradually attracted more attention with the development of hybrid electric vehicles. However, nonlinear coupling of multiple power sources, superposition of different dynamic characteristics in multiple components, and withdrawal and intervention for a power-split powertrain with a two-speed automated manual transmission (AMT) gearbox can cause jerk and vibration of the transmission system during the shift, which has higher requirements and challenges for the overall performance improvement of the system. This paper designs a novel, robust, augmented H∞ shift control strategy for a power-split system with a two-speed AMT gearbox of a heavy commercial vehicle and verifies the strategy’s effectiveness with simulations and experiments. First, the dynamic plant model and kinetic equations are established, and the shift is divided into five stages to clearly reveal the jerk and vibration problem. Based on augmented theory, a robust H∞ shift control strategy is proposed. Shift coordination is transformed into a speed tracking problem, and state variable and disturbance are reconstructed to obtain a new augmented system. Simulation and hardware-in-the-loop test are carried out to verify the effectiveness of the strategy, which mainly includes simulation of pneumatic actuator and H∞ control strategy. Results show that the proposed H∞ control strategy can greatly reduce the jerk of the transmission system. The jerk produced by the proposed strategy is decreased from 20.4 to 4.07 m/s3, leading to a substantial improvement of 80%. Therefore, the proposed strategy may offer a theoretical reference for the actual vehicle controller during the shift.


Author(s):  
Francesco Braghin ◽  
Edoardo Sabbioni ◽  
Gabriele Sironi ◽  
Michele Vignati

In last decades hybrid and electric vehicles have been one of the main object of study for automotive industry. Among the different layout of the electric power-train, four in-wheel motors appear to be one of the most attractive. This configuration in fact has several advantages in terms of inner room increase and mass distribution. Furthermore the possibility of independently distribute braking and driving torques on the wheels allows to generate a yaw moment able to improve vehicle handling (torque vectoring). In this paper a torque vectoring control strategy for an electric vehicle with four in-wheel motors is presented. The control strategy is constituted of a steady-state contribution to enhance vehicle handling performances and a transient contribution to increase vehicle lateral stability during limit manoeuvres. Performances of the control logic are evaluated by means of numerical simulations of open and closed loop manoeuvres. Robustness to friction coefficient changes is analysed.


2011 ◽  
Vol 383-390 ◽  
pp. 4151-4157
Author(s):  
Wen Qi Tian ◽  
Jing Han He ◽  
Jiu Chun Jiang ◽  
Cheng Gang Du

With the increase of new energy power generation, the requirement of smart grid and the popularity of electric vehicles, the research focus on V2G. With Electric vehicles being distributed energy storage or distributed generation, peak regulation in power system is involved in important functions of V2G. In order to achieve peak regulation function, the paper has analyzed the control relationship between the electric vehicles, V2G station and electric vehicle charge\ discharge control center, presented charge and discharge control strategy based on the two levels of electric vehicle charge\discharging control center and V2G station control layer and introduced algorithms and examples to achieve these strategies.


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