Study of Deceleration Control using the Power Regenerative Brake to Improve the Ride Comfort in the Electric Vehicle

2020 ◽  
Author(s):  
Hirokazu Kobayashi ◽  
Masato Kohriyama ◽  
Masahiro Nagata ◽  
Shunsuke Ohashi
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort

scholarly journals Torque Coordination Control of an Electro-Hydraulic Composite Brake System During Mode Switching Based on Braking Intention

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2031
Author(s):  
Yang Yang ◽  
Yundong He ◽  
Zhong Yang ◽  
Chunyun Fu ◽  
Zhipeng Cong
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Pressure Control ◽  
Smooth Transition ◽  
Mode Switching ◽  
Coordination Control ◽  
Braking System ◽  
Braking Torque

The electro-hydraulic composite braking system of a pure electric vehicle can select different braking modes according to braking conditions. However, the differences in dynamic response characteristics between the motor braking system (MBS) and hydraulic braking system (HBS) cause total braking torque to fluctuate significantly during mode switching, resulting in jerking of the vehicle and affecting ride comfort. In this paper, torque coordination control during mode switching is studied for a four-wheel-drive pure electric vehicle with a dual motor. After the dynamic analysis of braking, a braking force distribution control strategy is developed based on the I-curve, and the boundary conditions of mode switching are determined. A novel combined pressure control algorithm, which contains a PID (proportional-integral-derivative) and fuzzy controller, is used to control the brake pressure of each wheel cylinder, to realize precise control of the hydraulic brake torque. Then, a novel torque coordination control strategy is proposed based on brake pedal stroke and its change rate, to modify the target hydraulic braking torque and reflect the driver’s braking intention. Meanwhile, motor braking torque is used to compensate for the insufficient braking torque caused by HBS, so as to realize a smooth transition between the braking modes. Simulation results show that the proposed coordination control strategy can effectively reduce torque fluctuation and vehicle jerk during mode switching.

Simulation and Analysis of Ride Comfort of 4WD Electric Vehicle

2014 ◽  
Vol 574 ◽  
pp. 287-291
Author(s):  
Wei Hua Yang ◽  
You Rong Li ◽  
Zi Fan Fang ◽  
Kong De He
Keyword(s):  
Frequency Domain ◽  
Electric Vehicle ◽  
Time Domain ◽  
Ride Comfort ◽  
Spring Stiffness ◽  
Vibration System ◽  
Dynamics Model ◽  
Automobile Suspension ◽  
Road Excitation ◽  
Input Model

Taking the independent four motorized wheels driving electric vehicle (4WD EV) as study object, the method and index evaluating ride comfort of automobile suspension system were described, and the input model of random road excitation and the dynamics model of 1/4 vehicle vibration system were established, then the simulation of ride comfort of the established model was conducted, so the evaluating indexes’ responses in time domain and frequency domain were obtained. Above all, the changes of these indexes which are suspension damping, spring stiffness and un-sprung mass were analyzed, their effects on the ride comfort of electric vehicle driven by motorized wheel studied, thus provided reference for the development of electric vehicle driven by in-wheel motor.

scholarly journals A Basic Study on Sound Control System for Ultra-Compact Electric Vehicle by Using Masking

2020 ◽  
Vol 10 (10) ◽  
pp. 3412
Author(s):  
Taro Kato ◽  
Hiroya Nakayama ◽  
Hideaki Kato ◽  
Takayoshi Narita
Keyword(s):  
Heart Rate ◽  
Electric Vehicle ◽  
Driving Simulator ◽  
Ride Comfort ◽  
Active Noise Control ◽  
Interior Space ◽  
Basic Study ◽  
Brain Wave ◽  
Sound Control ◽  
Appearance Rate

In this study, we conducted a quantitative evaluation of the comfort of the interior of an electric vehicle (EV) using the brain wave appearance rate, which is part of the human biologic information that the initial stage of the proposed active noise control (ANC) system for ultra-compact EVs reveals. EVs have become easy-to-use mobility solutions and have been researched and actively developed focusing on using music characteristics. We performed fundamental testing of music including 1/f fluctuation for the evaluation of ride comfort based on the relationship between the participant’s heart rate and tempo of music using a driving simulator. The results suggest that if a passenger listened to music including a 1/f fluctuation, then he/she could relax. Thus, it was concluded that if we could pre-grasp the passenger’s biologic information of the heart rate and beats per minute for masking, then the comfort in the interior space could be improved even when using a driving simulator.

Analyze for Vertical Vibration of the In-Wheel Motor Electric Vehicle Based on Power Flow Method

2014 ◽  
Vol 915-916 ◽  
pp. 444-447
Author(s):  
Guang Hui Xu ◽  
Yan Yang Wang ◽  
Yi Nong Li ◽  
Wei Sun
Keyword(s):  
Electric Vehicle ◽  
Power Flow ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Vertical Vibration ◽  
Vehicle Body ◽  
Flow Method ◽  
Mass Increase ◽  
Unsprung Mass ◽  
Power Flow Method

The vertical vibration of the in-wheel motor electric vehicle (IWM-EV) induced by large unsprung mass is analyzed based on power flow method. The simulation results show that due to the unsprung mass increase of IWM-EV, energy consumption of the suspension and wheel is increasing, which will cause adverse effects on not just the ride comfort but the maneuver stability. To decrease the effect, a new kind of vibration mitigation measure of the vehicle body absorber combined with an active hybrid control integrated the sky-hook and ground-hook methods is developed. The effectiveness of this measure is verified.

scholarly journals Hybrid Model Predictive Control of Semiactive Suspension in Electric Vehicle with Hub-Motor

2021 ◽  
Vol 11 (1) ◽  
pp. 382
Author(s):  
Hong Jiang ◽  
Chengchong Wang ◽  
Zhongxing Li ◽  
Chenlai Liu
Keyword(s):  
Electric Vehicle ◽  
Hybrid Model ◽  
Control Algorithm ◽  
Electromechanical Coupling ◽  
Ride Comfort ◽  
Control Method ◽  
Coupling Effect ◽  
Damping Force ◽  
Road Excitation ◽  
Semiactive Suspension

In hub-motor electric vehicles (HM-EVs), the unbalanced electromagnetic force generated by the HM will further deteriorate the dynamic performance of the electric vehicle. In this paper, a semiactive suspension control method is proposed for HM-EVs. A quarter HM-EV model with an electromechanical coupling effect is established.The model consists of three parts: a motor model, road excitation model and vehicle model. A hybrid model predictive controller (HMPC) is designed based on the developed model, taking into account the nonlinear constraints of damping force. The focus is on improving the vertical performance of the HM-EV. Then, a Kalman filter is designed to provide the required state variables for the controller. The proposed control algorithm and constrained optimal control (COC) algorithm are simulation compared under random road excitation and bump road excitation, and the results show that the proposed control algorithm can improve ride comfort, reduce motor vibration, and improve handling stability more substantially.

Multi-objective optimization of the suspension parameters in the in-wheel electric vehicle

2021 ◽  
pp. 1-8
Author(s):  
Ruihua Li
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort ◽  
Impact Force ◽  
The Body ◽  
Particle Swarm Algorithm ◽  
Vertical Acceleration ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Suspension Parameters ◽  
Vertical Impact

The hub motor significantly increases the unsprung mass of electric in-wheel vehicles, which deteriorates the ride comfort and safety of vehicles and which can be effectively improved by optimizing the main suspension parameters of vehicles reasonably, so a multi-objective optimization method of main suspension parameters based on adaptive particle swarm algorithm is proposed and the dynamic model of a half in-wheel electric vehicle is established. Taking the stiffness coefficient of the suspension damping spring and damping coefficient of the damper as independent variables, the vertical acceleration of the body, the pitch acceleration and the vertical impact force of the hub motor as optimization variables, and the dynamic deflection of the suspension and the dynamic load of the wheel as constraint variables, the multi-objective optimization function is constructed, and the parameters are simulated and optimized under the compound pavement. The simulation results show that the vertical acceleration and pitch acceleration are reduced by 20.2% and 18.4% respectively, the vertical impact force of the front hub motor is reduced by 3.7%, and the ride comfort and safety are significantly improved.

scholarly journals Effect of in-wheel motor suspension system on electric vehicle ride comfort

2019 ◽  
Vol 29 ◽  
pp. 148-152 ◽  
Author(s):  
Le Van Quynh ◽  
Bui Van Cuong ◽  
Nguyen Van Liem ◽  
Le Xuan Long ◽  
Pham Thi Thanh Dung
Keyword(s):  
Electric Vehicle ◽  
Ride Comfort ◽  
Suspension System

Simulation and verification analysis of the ride comfort of an in-wheel motor-driven electric vehicle based on a combination of ADAMS and MATLAB

2021 ◽  
pp. 2250002
Author(s):  
Peicheng Shi ◽  
Qi Zhao ◽  
Kefei Wang ◽  
Rongyun Zhang ◽  
Ping Xiao
Keyword(s):  
Electric Vehicle ◽  
Electromagnetic Force ◽  
Ride Comfort ◽  
Operating Conditions ◽  
The Body ◽  
Mass System ◽  
Verification Method ◽  
Physical Prototype ◽  
Dynamic Simulation Model ◽  
The Impact

To study the ride comfort of wheel-hub-driven electric vehicles, a simulation and verification method based on a combination of ADAMS and MATLAB modeling is proposed. First, a multibody dynamic simulation model of an in-wheel motor-driven electric vehicle is established using ADAMS/Car. Then, the pavement excitation and electromagnetic force analytical equations are provided based on the specific operating conditions of the vehicle and the in-wheel motor to analyze the impact of the electromagnetic force fluctuation from an unsprung mass increase and motor air gap unevenness on vehicle ride comfort after the introduction of an in-wheel motor. Next, the vibration model and the motion differential equation of the body–wheel dual-mass system of an in-wheel motor-driven electric vehicle are established. The influence of the in-wheel motor on the vibration response index of the dual-mass system is analyzed by using MATLAB/Simulink software. The variation in the vehicle vibration performance index with/without the motor electromagnetic force excitation factor is analyzed and compared with the ADAMS multibody dynamics analysis results. The results show that the method based on a combination of ADAMS and MATLAB modeling can forecast the ride comfort of an in-wheel motor-driven electric vehicle, reducing the cost of physical prototype experiments.

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