Modeling and Torsional Vibration Control Based on State Feedback for Electric Vehicle Powertrain

2013 ◽  
Vol 341-342 ◽  
pp. 411-417 ◽  
Author(s):  
Zai Min Zhong ◽  
Qiang Wei
Keyword(s):  
Vibration Control ◽  
Electric Vehicle ◽  
Dynamic Model ◽  
Electric Vehicles ◽  
Torsional Vibration ◽  
Control Algorithm ◽  
State Feedback ◽  
Gear Backlash ◽  
Mass Spring ◽  
Vehicle Powertrain

Electric vehicles will longitudinally vibrate obviously under acceleration and regenerative braking conditions (because of torsional vibration of the electric vehicle powertrain). This paper includes models of motor rotor, gear reducer and differential assembly, half shafts, tire and body and nonlinear powertrain dynamic model in consideration of gear backlash and frictional characteristics between tire and ground. Real car tests confirm that it is correct under acceleration conditions. Then a two mass-spring damper linear model which is simplified from the nonlinear powertrain dynamic model is proposed to design torsional vibration control algorithm based on state feedback. The simulation results show that the algorithm can actively eliminate torsional vibration.

scholarly journals An Optimal Control Algorithm with Reduced DC-Bus Current Fluctuation for Multiple Charging Modes of Electric Vehicle Charging Station

2021 ◽  
Vol 12 (3) ◽  
pp. 107
Author(s):  
Tao Chen ◽  
Peng Fu ◽  
Xiaojiao Chen ◽  
Sheng Dou ◽  
Liansheng Huang ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Control Algorithm ◽  
Current Fluctuation ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Three Phase ◽  
Optimization Control ◽  
Dc Bus ◽  
Vehicle Charging

This paper presents a systematic structure and a control strategy for the electric vehicle charging station. The system uses a three-phase three-level neutral point clamped (NPC) rectifier to drive multiple three-phase three-level NPC converters to provide electric energy for electric vehicles. This topology can realize the single-phase AC mode, three-phase AC mode, and DC mode by adding some switches to meet different charging requirements. In the case of multiple electric vehicles charging simultaneously, a system optimization control algorithm is adopted to minimize DC-bus current fluctuation by analyzing and reconstructing the DC-bus current in various charging modes. This algorithm uses the genetic algorithm (ga) as the core of computing and reduces the number of change parameter variables within a limited range. The DC-bus current fluctuation is still minimal. The charging station system structure and the proposed system-level optimization control algorithm can improve the DC-side current stability through model calculation and simulation verification.

scholarly journals Experimental Electric Vehicle eŠus Gen2

2016 ◽  
Vol 14 (2) ◽  
pp. 7-12
Author(s):  
Josef Břoušek ◽  
Martin Bukvic ◽  
Pavel Jandura
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Battery Electric Vehicles ◽  
Current Trends ◽  
Design Solutions ◽  
Electrical Components ◽  
Vehicle Powertrain

Abstract In the introduction to the article, the conception and development of an experimental electric vehicle is described. It is followed by a description of the used mechanical and electrical components in combination with the design solutions of sub-units, such as the vehicle powertrain and traction battery. The choice of components and design solutions is evaluated here with regard to the current trends in the development of battery electric vehicles.

scholarly journals Efficient Gear Ratio Selection of a Single-Speed Drivetrain for Improved Electric Vehicle Energy Consumption

2020 ◽  
Vol 12 (21) ◽  
pp. 9254
Author(s):  
Polychronis Spanoudakis ◽  
Gerasimos Moschopoulos ◽  
Theodoros Stefanoulis ◽  
Nikolaos Sarantinoudis ◽  
Eftichios Papadokokolakis ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Vehicle ◽  
Dynamic Model ◽  
Electric Vehicles ◽  
Gear Ratio ◽  
Test Bed ◽  
Time Data ◽  
Dynamic Simulations ◽  
Ratio Set ◽  
Selection Of

The electric vehicle (EV) market has grown over the last few years and even though electric vehicles do not currently possess a high market segment, it is projected that they will do so by 2030. Currently, the electric vehicle industry is looking to resolve the issue of vehicle range, using higher battery capacities and fast charging. Energy consumption is a key issue which heavily effects charging frequency and infrastructure and, therefore, the widespread use of EVs. Although several factors that influence energy consumption of EVs have been identified, a key technology that can make electric vehicles more energy efficient is drivetrain design and development. Based on electric motors’ high torque capabilities, single-speed transmissions are preferred on many light and urban vehicles. In the context of this paper, a prototype electric vehicle is used as a test bed to evaluate energy consumption related to different gear ratio usage on single-speed transmission. For this purpose, real-time data are recorded from experimental road tests and a dynamic model of the vehicle is created and fine-tuned using dedicated software. Dynamic simulations are performed to compare and evaluate different gear ratio set-ups, providing valuable insights into their effect on energy consumption. The correlation of experimental and simulation data is used for the validation of the dynamic model and the evaluation of the results towards the selection of the optimal gear ratio. Based on the aforementioned data, we provide useful information from numerous experimental and simulation results that can be used to evaluate gear ratio effects on electric vehicles’ energy consumption and, at the same time, help to formulate evolving concepts of smart grid and EV integration.

Design of Torsional Vibration Controller for Motor-Gearbox/Differential Drive System of Electric Vehicles

2013 ◽  
Vol 437 ◽  
pp. 56-61 ◽  
Author(s):  
Jian Fu Xu ◽  
Peng Yu ◽  
Tong Zhang ◽  
Rong Guo
Keyword(s):  
State Space ◽  
Electric Vehicles ◽  
Torsional Vibration ◽  
Driving Performance ◽  
Drive System ◽  
Linear Quadratic ◽  
Differential Drive ◽  
Set Up ◽  
Mass Spring ◽  
Space Equation

A torsional controller is proposed for the motor-gearbox/differential drive system of electric vehicles to suppress the torsional vibration of the system. The drive system is simplified to a 2-mass spring damper system, and the state-space equation is set up. A controller consisting of linear quadratic regular (LQR) and state observer is designed. The results of simulation show that LQR can suppress the torsional vibration effectively, enhancing the driving performance of the vehicle.

Research on Load Modeling of Electric Vehicles

2013 ◽  
Vol 291-294 ◽  
pp. 892-897
Author(s):  
Jian Lei Fan ◽  
Jun Liu ◽  
Lei Zhang ◽  
Hong Peng He
Keyword(s):  
Electric Vehicle ◽  
Dynamic Model ◽  
Dynamic Stability ◽  
Electric Vehicles ◽  
Load Modeling ◽  
Load Model ◽  
Modeling Approach ◽  
Electric Vehicle Charging ◽  
Static And Dynamic Stability ◽  
Composite Load Model

The accurate electric vehicle charging load model shall be established to analyze potential challenges of static and dynamic stability brought by electric vehicles. In this paper, experiments with the electric vehicle charger and battery were carried out to analyze the model characteristics. And then this model was compared to the composite load model. At last, the modeling approach of static and dynamic model of electric vehicles was proposed.

Developing Simulation Model for Four In-Wheel Motor Electric Vehicle Based on Simulink

2013 ◽  
Vol 846-847 ◽  
pp. 22-25
Author(s):  
Gang Li ◽  
Hang Yuan ◽  
Jing Shi ◽  
Ning Li ◽  
Zhi Cheng Zhou
Keyword(s):  
Simulation Model ◽  
Electric Vehicle ◽  
Dynamic Model ◽  
Control Algorithm ◽  
Modular Design ◽  
Vehicle Model ◽  
Commercial Software ◽  
Matlab Simulink ◽  
Model Equations

The 15 DOF four in-wheel motor electric vehicle model is developed based on Matlab / Simulink. The model adopts modular design. The dynamic model equations, vehicle model diagram and the methods of each module modeling are presented. The model is verified by commercial software Carsim. The results show that the model is higher accuracy and it can be used for the control algorithm improvements and validation as a good platform.

scholarly journals The Electric Vehicle Transition and the Economics of Banning Gasoline Vehicles

2021 ◽  
Vol 13 (3) ◽  
pp. 316-344
Author(s):  
Stephen P. Holland ◽  
Erin T. Mansur ◽  
Andrew J. Yates
Keyword(s):  
Electric Vehicle ◽  
Dynamic Model ◽  
Electric Vehicles ◽  
Deadweight Loss ◽  
Gasoline Vehicles ◽  
The Us ◽  
Vehicle Production ◽  
Personal Transportation ◽  
Vehicle Purchase ◽  
Unique Potential

Electric vehicles have a unique potential to transform personal transportation. We analyze this transition with a dynamic model capturing falling costs of electric vehicles, decreasing pollution from electricity, and increasing vehicle substitutability. Our calibration to the US market shows a transition from gasoline vehicles is not optimal at current substitutability: a gasoline vehicle production ban would have large deadweight loss. At higher substitutability, a ban can reduce deadweight loss from vehicle mix and adoption timing inefficiencies. A cumulative gasoline vehicle production quota has smaller deadweight loss, and an electric vehicle purchase subsidy is more robust to regulator misperceptions about substitutability. (JEL H23, L51, L62, L94, Q53)

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