Elasticity of the various driveline components and backlash originating from gear reduction mechanisms and fasteners may cause torsional vibrations resulting in unintended shunt and shuffle behaviours, when a vehicle is subjected to an acceleration change request. As a result of recent improvements to engine control structures and computational capability developments during the last few decades, the idea of using generated brake torque control has been considered a state of the art research topic among academic researchers and original equipment manufacturers (OEMs). In order to improve transient vehicle response to an acceleration change manoeuvre, a novel engine generated brake torque based model predictive control (MPC) algorithm with an additional anti-shuffle control element has been developed to manipulate the pedal map oriented torque demand signal in an automotive powertrain application. A four mass powertrain model was built and model validation considering longitudinal vehicle dynamics was performed with vehicle level tests using a tip-in followed by a tip out acceleration pedal signal input manoeuvre. Comparison of simulation results and vehicle test data shows that the proposed model is capable of capturing the vehicle acceleration profile revealing unintended error states for the specified input signals. MPC structures based on three mass vehicle models (derived from the four mass model via subtracting tyre dynamics due to high order nonlinearities at the tyre model) was developed in a “MATLAB/Simulink” environment to obtain a smooth and responsive acceleration profile. The MPC controller delivers signal states with the expected performance metrics without error states such as excessive jerks and shuffles. An additional engine to wheel speed difference based proportional controller is employed in order to further reduce powertrain oscillations without compromising from overall system response speed resulting in a comfortable drive.
Modern design techniques primarily consist of finite element analysis of the vehicle body in a computational media. In this study, an actual double-deck bus body of domestic production has been modeled in three-dimensions by means of IDEAS program in order to calculate its fatigue strength. In other words, an approximation algorithm has been developed to obtain service loads. The effects of dynamic and static loads on the bus body have been calculated and included to the FEM analysis. As a new approximation technique, during the service life of a vehicle under dynamic loads (straight good road, straight bad road, cornering bad road and singular obstacle road) arising from the road conditions as taking into account, load spectrum has been constituted. In the design spectrum that has been utilized in our calculations, considering the equivalence damage effect rule, instead of using straight good road conditions, other fifty percent of forces that have been mentioned above, accepted as hundred percent of dynamic and static forces caused by bad road conditions acting on the bus body. As a result of this study, the calculated results have been compared to the theoretical and experimental data taken from literature review. It can be seen that this approximation technique that we used in our calculations can be used for this kind of fatigue analysis of vehicle components or bodies.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.