Ride Comfort Performance Improvement of Electric Vehicle (EV) Conversion Using SAS-Controlled Active Suspension System

2014 ◽  
Vol 71 (2) ◽  
Author(s):  
Saiful Anuar Abu Bakar ◽  
Ryosuke Masuda ◽  
Hiromu Hashimoto ◽  
Takeshi Inaba ◽  
Hishamuddin Jamaluddin ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Mathematical Modelling ◽  
Electric Vehicle ◽  
Performance Improvement ◽  
Pitch Angle ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Active Suspension ◽  
Vertical Displacement ◽  
Suspension System

This paper presents vehicle’s ride comfort performance evaluation after the conversion into an electric vehicle (EV) and the possible ride comfort improvement by an active suspension system have been investigated. The evaluations were done using a validated 7 degrees of freedom of vehicle’s ride model. The mathematical modelling of the vehicle’s ride as well as its validations was developed in order to predict the vehicle’s ride behaviours. The model was then integrated with the active suspension system in order to improve the EV conversion’s ride comfort performance. It was found that the modifications towards an EV conversion do not affect vehicle’s ride comfort performance significantly, except it changes only the vehicle’s vertical displacement, pitch rate and pitch angle responses. However, further application of an active suspension system in EV conversion was found to be able to improve all of the observed responses for ride comfort performance of an EV conversion by overall improvement of 71.1 percent.

Active Suspension System to Improve Ride Comfort Performance of Electric Vehicle (EV) Conversion

2014 ◽  
Vol 663 ◽  
pp. 208-212
Author(s):  
Saiful Anuar Abu Bakar ◽  
Azhar Abdul Aziz
Keyword(s):  
Electric Vehicle ◽  
Pitch Angle ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Active Suspension ◽  
Vertical Displacement ◽  
Suspension System ◽  
Passenger Vehicle

This paper presents an evaluation of ride comfort performance of a passenger vehicle when converted into an electric vehicle (EV). The evaluations were done using a validated 7 degrees of freedom of vehicle’s ride model. The developed vehicle’s ride model was used to predict the vehicle’s ride behaviours when subjected to random road profiles. The ride model of EV conversion was then integrated with the active suspension system in order to further improve the EV conversion’s ride comfort performance. It was found that the modifications of a normal passenger vehicle into an EV conversion do not affect vehicle’s ride comfort performance significantly, except the conversion changes only the magnitude of vehicle’s vertical displacement, pitch rate and pitch angle responses. However, the integration of an active suspension system in EV conversions ride model was improves the observed responses of EV conversion’s ride comfort performance by overall improvement of 65.7 percents.

Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

2015 ◽  
pp. 992-1039
Author(s):  
Laiq Khan ◽  
Shahid Qamar
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Car Model ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control ◽  
Soft Computing Technique

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.

Active Vibration Control of Automotive Suspension System using Fuzzy Logic Algorithm

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
A.S Emam
Keyword(s):  
Fuzzy Logic ◽  
Degrees Of Freedom ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Active Vibration Control ◽  
Active Suspension ◽  
Suspension System ◽  
Performance Criteria ◽  
Road Disturbance ◽  
Automotive Suspension

This study details an efficient fuzzy logic controller (FLC) to improve the performance of active automotive suspension system. A comparison between passive and FLC active suspensions is performed. A mathematical model of automotive active suspension has six degrees of freedom and two input forces generated by two separate actuators are solved using Matlab Simulink. In order to evaluate the effectiveness of the proposed controller under random road disturbance, several performance criteria are assessed based on the dynamic response of the half automotive suspension system. Simulation results of the active suspension system based on the fuzzy logic clearly have been provided to illustrate the effectiveness of the FLC under different road conditions and confirmed that fuzzy logic is very effective for enhancing ride comfort and stability of the vehicle.

A Novel Fuzzy Controller to Improve Desired Suspension Performance

2007 ◽  
Author(s):  
Mohammad Biglarbegian ◽  
William Melek ◽  
Farid Golnaraghi
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Suspension Systems ◽  
System A ◽  
Active Suspension Systems ◽  
Vehicle Suspension System ◽  
Suspension Performance

Semi-active suspension systems allow for adjusting the vehicle shock damping and hence improved suspension performance can be achieved over passive methods. This paper presents the design of a novel fuzzy control structure to concurrently improve ride comfort and road handling of vehicles with semi-active suspension system. A full car model with seven degrees of freedom is adopted that includes the vertical, roll, and pitch motions as well as the vertical motions of each wheel. Four decentralized fuzzy controllers are developed and applied to each individual damper in the vehicle suspension system. Mamdani’s method is applied to infer the damping coefficient output from the fuzzy controller. To evaluate the performance of the proposed controller, numerical analyses were carried out on a real road bump. Moreover, results were compared with well-known and widely used controllers such as Skyhook. It is shown that the proposed fuzzy controller is capable of achieving enhanced ride comfort and road handling over other widely used control methods.

Online Adaptive Neuro-Fuzzy Based Full Car Suspension Control Strategy

2014 ◽  
pp. 617-666 ◽  
Author(s):  
Laiq Khan ◽  
Shahid Qamar
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Active Suspension ◽  
Suspension System ◽  
Car Model ◽  
Car Suspension ◽  
Neuro Fuzzy ◽  
Suspension Control ◽  
Soft Computing Technique

Suspension system of a vehicle is used to minimize the effect of different road disturbances for ride comfort and improvement of vehicle control. A passive suspension system responds only to the deflection of the strut. The main objective of this work is to design an efficient active suspension control for a full car model with 8-Degrees Of Freedom (DOF) using adaptive soft-computing technique. So, in this study, an Adaptive Neuro-Fuzzy based Sliding Mode Control (ANFSMC) strategy is used for full car active suspension control to improve the ride comfort and vehicle stability. The detailed mathematical model of ANFSMC has been developed and successfully applied to a full car model. The robustness of the presented ANFSMC has been proved on the basis of different performance indices. The analysis of MATLAB/SMULINK based simulation results reveals that the proposed ANFSMC has better ride comfort and vehicle handling as compared to Adaptive PID (APID), Adaptive Mamdani Fuzzy Logic (AMFL), passive, and semi-active suspension systems. The performance of the active suspension has been optimized in terms of displacement of seat, heave, pitch, and roll.

Selection of Sensors for Hydro-Active Suspension System of Passenger Car With Input–Output Pairing Considerations

2012 ◽  
Vol 135 (1) ◽  
Author(s):  
Ehsan Sarshari ◽  
Ali Khaki Sedigh
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Nonlinear Models ◽  
Main Idea ◽  
Active Suspension ◽  
Suspension System ◽  
Passenger Car ◽  
Cost Constraints ◽  
Control Configuration ◽  
Selection Of

With respect to weight, energy consumption, and cost constraints, hydro-active suspension system is a suitable choice for improving vehicle ride comfort while keeping its handling. The aim of sensors selection is determining number, location, and type of sensors, which are the best for control purposes. Selection of sensors is related to the selection of measured variables (outputs). Outputs selection may limit performance and also affect reliability and complexity of control systems. In the meanwhile, hardware, implementation, maintenance, and repairing costs can be affected by this issue. In this study, systematic methods for selecting the viable outputs for hydro-active suspension system of a passenger car are implemented. Having joint robust stability and nominal performance of the closed loop is the main idea in this selection. In addition, it is very important to use these methods as a complementation for system physical insights, not supersedes. So, in the first place the system is described and the main ideas in ride comfort control are addressed. An 8 degrees of freedom model of vehicle with passive suspension system is derived and validated. Both linear and nonlinear models of the car which is equipped with hydro-active subsystem are derived. After selecting the outputs, for benefiting from minimum loop interactions, the control configuration is systematically determined. The main goal of selecting control configuration is assessing the possibility of achieving a decentralized control configuration. Finally, the system behavior is controlled by a decentralized proportional–integral–differential (PID) controller. The results indicate the efficiency of the controlled hydro-active suspension system in comparison with the passive system.

Performance analysis of MR damper based semi-active suspension system using optimally tuned controllers

2021 ◽  
pp. 095440702110044
Author(s):  
Gurubasavaraju Tharehalli mata ◽  
Vijay Mokenapalli ◽  
Hemanth Krishna
Keyword(s):  
Pid Controller ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Parametric Method ◽  
Mr Damper ◽  
Active Suspension ◽  
Suspension System ◽  
Sliding Mode Controller ◽  
Road Excitation

This study assesses the dynamic performance of the semi-active quarter car vehicle under random road conditions through a new approach. The monotube MR damper is modelled using non-parametric method based on the dynamic characteristics obtained from the experiments. This model is used as the variable damper in a semi-active suspension. In order to control the vibration caused under random road excitation, an optimal sliding mode controller (SMC) is utilised. Particle swarm optimisation (PSO) is coupled to identify the parameters of the SMC. Three optimal criteria are used for determining the best sliding mode controller parameters which are later used in estimating the ride comfort and road handling of a semi-active suspension system. A comparison between the SMC, Skyhook, Ground hook and PID controller suggests that the optimal parameters with SMC have better controllability than the PID controller. SMC has also provided better controllability than the PID controller at higher road roughness.

Active Vehicle Suspension Control Using Full State-Feedback Controller

2015 ◽  
Vol 1115 ◽  
pp. 440-445 ◽  
Author(s):  
Musa Mohammed Bello ◽  
Amir Akramin Shafie ◽  
Raisuddin Khan
Keyword(s):  
State Feedback ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Feedback Controller ◽  
Vehicle Suspension ◽  
Passive Suspension ◽  
Full State ◽  
Full State Feedback ◽  
Passive Suspension System

The main purpose of vehicle suspension system is to isolate the vehicle main body from any road geometrical irregularity in order to improve the passengers ride comfort and to maintain good handling stability. The present work aim at designing a control system for an active suspension system to be applied in today’s automotive industries. The design implementation involves construction of a state space model for quarter car with two degree of freedom and a development of full state-feedback controller. The performance of the active suspension system was assessed by comparing it response with that of the passive suspension system. Simulation using Matlab/Simulink environment shows that, even at resonant frequency the active suspension system produces a good dynamic response and a better ride comfort when compared to the passive suspension system.

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