Energy Harvesting, Ride Comfort, and Road Handling of Regenerative Vehicle Suspensions

2013 ◽  
Vol 135 (1) ◽  
Author(s):  
Lei Zuo ◽  
Pei-Sheng Zhang
Keyword(s):  
Energy Harvesting ◽  
Ride Comfort ◽  
Average Power ◽  
Great Influence ◽  
Vehicle Body ◽  
Ride Quality ◽  
Road Roughness ◽  
Tire Stiffness ◽  
Suspension Stiffness ◽  
The Mean

This paper presents a comprehensive assessment of the power that is available for harvesting in the vehicle suspension system and the tradeoff among energy harvesting, ride comfort, and road handing with analysis, simulations, and experiments. The excitation from road irregularity is modeled as a stationary random process with road roughness suggested in the ISO standard. The concept of system H2 norm is used to obtain the mean value of power generation and the root mean square values of vehicle body acceleration (ride quality) and dynamic tire-ground contact force (road handling). For a quarter car model, an analytical solution of the mean power is obtained. The influence of road roughness, vehicle speed, suspension stiffness, shock absorber damping, tire stiffness, and the wheel and chasses masses to the vehicle performances and harvestable power are studied. Experiments are carried out to verify the theoretical analysis. The results suggest that road roughness, tire stiffness, and vehicle driving speed have great influence on the harvesting power potential, where the suspension stiffness, absorber damping, and vehicle masses are insensitive. At 60 mph on good and average roads, 100–400 W average power is available in the suspensions of a middle-sized vehicle.

Energy Harvesting, Ride Comfort, and Road Handling of Regenerative Vehicle Suspensions

2011 ◽  
Author(s):  
Lei Zuo ◽  
Pei-Sheng Zhang
Keyword(s):  
Energy Harvesting ◽  
Ride Comfort ◽  
Average Power ◽  
Great Influence ◽  
Vehicle Body ◽  
Ride Quality ◽  
Vehicle Speed ◽  
Road Roughness ◽  
Tire Stiffness ◽  
Suspension Stiffness

This paper presents a comprehensive assessment of the power that is available for harvesting in the vehicle suspension system and the tradeoff among energy harvesting, ride comfort, and road handing with analysis, simulations and experiments. The excitation from road irregularity is modeled as a stationary random process with road roughness suggested in the ISO standard. The concept of system H2 norm is used to obtain mean value of power generation and the root mean square values of vehicle body acceleration (ride quality) and dynamic tire-ground contact force (road handling). For a quarter car model, analytical solution of the mean power is obtained. The influence of road roughness, vehicle speed, suspension stiffness, shock absorber damping, tire stiffness, wheel and chasses masses to the vehicle performances and harvestable power are studied. Experiments are carried out to verify the theoretical analysis. The results suggest that road roughness, tire stiffness, and vehicle driving speed have great influence to the harvesting power potential, where the suspension stiffness, absorber damping, vehicle masses are insensitive. At 60mph on good and average roads 100–400 watts average power is available in the suspensions of a middle-size vehicle.

Structural-Acoustic Analysis of Automobile Passenger Compartment

2012 ◽  
Vol 236-237 ◽  
pp. 175-179 ◽  
Author(s):  
Shu Wen Zhou ◽  
Si Qi Zhang
Keyword(s):  
Frequency Response ◽  
Acoustic Analysis ◽  
Ride Comfort ◽  
Vehicle Body ◽  
Response Analysis ◽  
Passenger Compartment ◽  
Vector Method ◽  
Acoustic Cavity ◽  
Road Roughness ◽  
Acoustic Contribution

Besides the performances of handling, stability, ride comfort, power and fuel economy, the sound pressure levels in the automobile passenger compartments heavily influence the customer’s purchasing decision. The interior acoustics of automobile passenger compartment was analyzed in this paper. The frequency response analysis was performed on the vehicle body due to road roughness. The frequency response of vehicle body’s output spectrum, nodes’ velocity is used as the boundary condition of the acoustic cavity. With boundary element method and acoustic transfer vector method, the panel acoustic contribution was analyzed. By modifying the stiffness, damping or mass of the corresponding panel, the acoustic pressure levels at the driver’s and passenger’s ear were decreased.

Performance Evaluation of Train Suspension Energy Harvesting Shock Absorber on Railway Vehicle Dynamics

2018 ◽  
Author(s):  
Yu Pan ◽  
Sijing Guo ◽  
Ruijin Jiang ◽  
Yong Xu ◽  
Zhiwen Tu ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Vehicle Dynamics ◽  
Shock Absorber ◽  
Ride Comfort ◽  
Average Power ◽  
Modern Society ◽  
Railway Vehicle ◽  
Railway Transportation ◽  
Suspension Dynamics ◽  
Secondary Suspension

Railway transportation has been increasingly significant for modern society in recent decades. To enable smart technology, such as health monitoring and electromagnetic braking for railway vehicles, a mechanical motion rectifier (MMR) based energy harvesting shock absorber (EHSA) has been proposed and proved to be capable of scavenging energy from the train suspension vibration. When installed on the train, MMR-EHSA works as a tunable damper in parallel with an inerter. This new suspension form brings great potential for further optimization of suspension dynamics but is rarely researched before. In this paper, the influence of the energy harvesting shock absorber (EHSA) on the railway vehicle dynamics performance is studied. A ten-degree of freedom vehicle model is established, with MMR shock absorber’s nonlinearity taken into account, with the purpose to analyze the influence of the EHSA on the ride comfort and wheel-rail vertical forces. Simulations are conducted by replacing the traditional shock absorber from train secondary suspension with the EHSA. Results show that EHSA could respectively harvest 180 W and 40 W average power at AAR 6th and 5th rail irregularity. In addition, compared with the traditional shock absorber, the MMR-EHSA can provide a higher ride comfort for passengers and slightly reduce the wheel-rail contact force.

Comparison of PID and Fuzzy Controller for Automobile Suspension System

2011 ◽  
Vol 110-116 ◽  
pp. 671-676
Author(s):  
Nemat Changizi ◽  
Asef Zare ◽  
Nooshin Sheiie ◽  
Mahbubeh Moghadas
Keyword(s):  
Pid Control ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Suspension System ◽  
The Body ◽  
Vehicle Body ◽  
Road Roughness ◽  
Automobile Suspension ◽  
Automotive Suspension ◽  
Fuzzy Logic Technique

The main aim of suspension system is to isolate a vehicle body from road irregularities in order to maximize passenger ride comfort and retain continuous road wheel contact in order to provide road holding. The aim of the work described in the paper was to illustrate the application of fuzzy logic technique to the control of a continuously damping automotive suspension system. The ride comfort is improved by means of the reduction of the body acceleration caused by the car body when road disturbances from smooth road and real road roughness. The paper describes also the model and controller used in the study and discusses the vehicle response results obtained from a range of road input simulations. In the conclusion, a comparison of active suspension fuzzy control and Proportional Integration derivative (PID) control is shown using MATLAB simulations.

Study on Ride Comfort of Non-Linear Vehicle Vibration System

2012 ◽  
Vol 215-216 ◽  
pp. 1043-1046
Author(s):  
Hai Yan Jing ◽  
Yan Ping Zheng ◽  
Ming Xia Fang
Keyword(s):  
Ride Comfort ◽  
Monotone Function ◽  
Random Excitation ◽  
Domain Model ◽  
Vehicle Body ◽  
Road Profile ◽  
Road Roughness ◽  
Non Linear ◽  
Rubber Bearings ◽  
The Mathematical Model

Based on the mathematical model of non-linear rubber bearings under the condition of random excitation and time domain model of road roughness, the 11-dof vibrant model for vehicle was built with considering the non-linear rubber bearings. Then the influence of the rubber bearings on ride comfort was simulated under the condition on the B-class road profile by different speed as the random input. The result shows that the way of modeling the vibrant model is feasible, and the influence is not a simple monotone function, especially in the barycenter acceleration of vehicle body.

scholarly journals Assessment of the Road Surface Condition with Longitudinal Acceleration Signal of the Car Body

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5987
Author(s):  
Krzysztof Prażnowski ◽  
Jarosław Mamala ◽  
Michał Śmieja ◽  
Mariusz Kupina
Keyword(s):  
Surface Condition ◽  
Mean Amplitude ◽  
Road Surface ◽  
Vehicle Body ◽  
Frequency Bands ◽  
Body Acceleration ◽  
The Road ◽  
Road Roughness ◽  
Specific Frequency ◽  
The Mean

On the basis of road tests, the authors assessed the feasibility of the vehicle body acceleration values for the purposes of assessing road surface characteristics in terms of its roughness. Short-term Fourier Transform (STFT) was used for the analysis of the recorded signal. The spectra obtained in successive frequency bands demonstrate the amplitudes originating from the natural vibrations of the rolling wheel and forces resulting from the interaction with the road roughness. The article focuses on the relationships between the road roughness and the ratios of individual amplitudes in a specific frequency band of the vehicle body acceleration values. Amplitude values derived on the basis of successive windows were averaged for analogous, arbitrarily assumed local frequency bands. The value characterizing the road surface condition provided the information regarding the mean amplitude value in specific frequency ranges depending on the instantaneous velocity of the car body and the condition of the road surface on which it was moving. In cases where the road was free of any visible roughness, the obtained mean amplitude value in the analyzed spectrum window, for the adopted vehicle velocity range from 50 km h to 100 km/h, did not exceed 0.02 m/s2. It was also demonstrated that the road surface roughness leads to an increase in the mean amplitude value from 0.07 m/s2 to 0.16 m/s2.

scholarly journals Robust H-infinity Controller in a MRF Engine Mount for Improving the Vehicle Ride Comfort

2020 ◽  
Vol 25 (2) ◽  
pp. 219-225
Author(s):  
Seyed Salman Hosseini ◽  
Javad Marzbanrad
Keyword(s):  
Ride Comfort ◽  
Vehicle Body ◽  
Maximum Magnitude ◽  
Robust Controller ◽  
H Infinity ◽  
The Road ◽  
Engine Vibration ◽  
Road Roughness ◽  
Comparison Results ◽  
Engine Mount

In this paper, a robust controller is designed with the help of a Magnetorheological fluid (MRF) for a semi-active engine mount. To do so, an 8-DOF vehicle model is chosen in which the road roughness and engine vibration are the disturbance inputs to the system and the mass of the vehicle is taken into accounts as an uncertainty. In addition, the maximum magnitude and frequency of the force applied to the vehicle body by the actuators are limited in the ranges of 0~1500N and 0~10Hz, respectively. To validate such a design, the proposed controller is compared with a PID controller. The comparison results show that the proposed controller has a good performance while dealing with uncertainties such a way that using it leads to transmitting the engine vibration frequency less than 6%. It is also shown that the vibrations due to disturbances entering the system are effectively reduced in the system including the proposed controller.

scholarly journals Predictive Control Using Active Aerodynamic Surfaces to Improve Ride Quality of a Vehicle

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1463
Author(s):  
Ejaz Ahmad ◽  
Jamshed Iqbal ◽  
Muhammad Arshad Khan ◽  
Wu Liang ◽  
Iljoong Youn
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Ride Comfort ◽  
Tracking Error ◽  
Vehicle Body ◽  
Ride Quality ◽  
Radius Of Curvature ◽  
Attitude Motion ◽  
Road Disturbance ◽  
Aerodynamic Surfaces

This work presents a predictive control strategy for a four degrees of freedom (DOF) half-car model in the presence of active aerodynamic surfaces. The proposed control strategy consists of two parts: the feedback control deals with the tracking error while the feedforward control handles the anticipated road disturbance and ensures the desired maneuvering. The desired roll and pitch angles are obtained by using disturbance, vehicle speed and radius of curvature. The proposed approach helps the vehicle to achieve better ride comfort by suppressing the amplitude of vibrations occurring in the vertical motion of the vehicle body, and enhances the road-holding capability by overcoming the amplitude of vibrations in tyre deflection. The control strategy also cancels out the hypothetical forces acting on the vehicle body to help the vehicle to track the desired attitude motion without compromising the ride comfort and road-holding capability. The simulations results show that the proposed control strategy successfully reduces the root mean square error (RMSE) values of sprung mass acceleration as well as tyre deflection.

scholarly journals Enhanced Power Extraction with Sediment Microbial Fuel Cells by Anode Alternation

Fuels ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 168-178
Author(s):  
Marzia Quaglio ◽  
Daniyal Ahmed ◽  
Giulia Massaglia ◽  
Adriano Sacco ◽  
Valentina Margaria ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Energy Harvesting ◽  
Power Density ◽  
Microbial Fuel Cells ◽  
Average Power ◽  
Power Extraction ◽  
Harvesting Technique ◽  
Harvesting Method ◽  
Energy Harvesting Devices ◽  
Efficient Power

Sediment microbial fuel cells (SMFCs) are energy harvesting devices where the anode is buried inside marine sediment, while the cathode stays in an aerobic environment on the surface of the water. To apply this SCMFC as a power source, it is crucial to have an efficient power management system, leading to development of an effective energy harvesting technique suitable for such biological devices. In this work, we demonstrate an effective method to improve power extraction with SMFCs based on anodes alternation. We have altered the setup of a traditional SMFC to include two anodes working with the same cathode. This setup is compared with a traditional setup (control) and a setup that undergoes intermittent energy harvesting, establishing the improvement of energy collection using the anodes alternation technique. Control SMFC produced an average power density of 6.3 mW/m2 and SMFC operating intermittently produced 8.1 mW/m2. On the other hand, SMFC operating using the anodes alternation technique produced an average power density of 23.5 mW/m2. These results indicate the utility of the proposed anodes alternation method over both the control and intermittent energy harvesting techniques. The Anode Alternation can also be viewed as an advancement of the intermittent energy harvesting method.

scholarly journals Road Roughness Estimation Based on the Vehicle Frequency Response Function

Actuators ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 89
Author(s):  
Qingxia Zhang ◽  
Jilin Hou ◽  
Zhongdong Duan ◽  
Łukasz Jankowski ◽  
Xiaoyang Hu
Keyword(s):  
Frequency Response ◽  
Response Function ◽  
Frequency Response Function ◽  
Gaussian White Noise ◽  
Estimation Method ◽  
Time Shift ◽  
Ride Quality ◽  
The Road ◽  
Road Roughness ◽  
Measured Response

Road roughness is an important factor in road network maintenance and ride quality. This paper proposes a road-roughness estimation method using the frequency response function (FRF) of a vehicle. First, based on the motion equation of the vehicle and the time shift property of the Fourier transform, the vehicle FRF with respect to the displacements of vehicle–road contact points, which describes the relationship between the measured response and road roughness, is deduced and simplified. The key to road roughness estimation is the vehicle FRF, which can be estimated directly using the measured response and the designed shape of the road based on the least-squares method. To eliminate the singular data in the estimated FRF, the shape function method was employed to improve the local curve of the FRF. Moreover, the road roughness can be estimated online by combining the estimated roughness in the overlapping time periods. Finally, a half-car model was used to numerically validate the proposed methods of road roughness estimation. Driving tests of a vehicle passing over a known-sized hump were designed to estimate the vehicle FRF, and the simulated vehicle accelerations were taken as the measured responses considering a 5% Gaussian white noise. Based on the directly estimated vehicle FRF and updated FRF, the road roughness estimation, which considers the influence of the sensors and quantity of measured data at different vehicle speeds, is discussed and compared. The results show that road roughness can be estimated using the proposed method with acceptable accuracy and robustness.

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