Energy Harvesting and Damping Capability of Quarter-Car Test Bed

Author(s):  
Abdullah A. Algethami ◽  
Won-jong Kim

Recovering and regenerating power in automotive applications has drawn significant interest recently. A car-suspension system can be modeled as a 2-DOF mass-spring-damper system. Active control used for the car suspension system produces results superior to other methods. In this study, a 3-phase linear generator is used to harvest energy and suppress vibration on a quarter-car suspension setup. The suspension system is analyzed to estimate the harvestable power and damping capability of the generator. Analysis for the generator and its efficiency are presented. Harvestable power of around 105 mW was achieved at a 3.5-Hz input disturbance. The regenerative suspension system can reduce the vibration of the sprung-mass acceleration by up to 22% in an indexed performance. Around 8.4 W used to drive the motor in active control was saved when the regenerative system was used. As a result, much energy can be saved by switching from the active to the energy-harvesting mode. A more efficient system can be designed by matching the mechanical and electromagnetic (EM) damping.

2016 ◽  
Vol 36 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Mahesh Nagarkar ◽  
G. J. Vikhe Patil

<p>In this paper, a genetic algorithm (GA) based in an optimization approach is presented in order to search the optimum weighting matrix parameters of a linear quadratic regulator (LQR). A Macpherson strut quarter car suspension system is implemented for ride control application. Initially, the GA is implemented with the objective of minimizing root mean square (RMS) controller force. For single objective optimization, RMS controller force is reduced by 20.42% with slight increase in RMS sprung mass acceleration. Trade-off is observed between controller force and sprung mass acceleration. Further, an analysis is extended to multi-objective optimization with objectives such as minimization of RMS controller force and RMS sprung mass acceleration and minimization of RMS controller force, RMS sprung mass acceleration and suspension space deflection. For multi-objective optimization, Pareto-front gives flexibility in order to choose the optimum solution as per designer’s need.</p>


Author(s):  
R S Sharp ◽  
J H Hassan

A mathematical model of a pneumatic active car suspension system in a single wheel station form excited by realistic road roughness input is set up. The active control is exerted through a d.c. motor-driven air-pump. The model is used to show that essentially all the advantages of active control, within the terms of reference, are obtained by employing the control only at low frequencies and having the suspension parameters adapt to the running conditions as they vary. Control laws are derived using limited state feedback, linear stochastic optimal control theory and power consumption, and space requirements are evaluated. System performance is shown to be good in comparison with other known arrangements and encouragement for further work to extend the results is given.


2017 ◽  
Vol 50 (1) ◽  
pp. 14519-14524 ◽  
Author(s):  
Sami Rajala ◽  
Tomi Roinila ◽  
Matti Vilkko ◽  
Oussama Ajala ◽  
Jochen Rauh

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