Multi-Objective Optimization of Vehicle Handling Performance Considering Driver’s Subjective Rating

In this study, a new method to improve ride comfort, vehicle handling, and workspace was presented in multi-objective optimization using nonlinear asymmetrical dampers. The main aim of this research was to provide suitable passive suspension based on more efficiency and the low cost of the mentioned dampers. Using the model with five degrees of freedom, suspension system parameters were optimized under sinusoidal road excitation. The main functions of the suspension system were chosen as objective functions. In order to better illustrate the impact of each objective functions on the suspension parameters, at first two-objective and finally five-objective were considered in the optimization problem. The obtained results indicated that the optimized viscous coefficients for five-objective optimization lead to 3.58% increase in ride comfort, 0.74% in vehicle handling ability, and 2.20% in workspace changes for the average of forward and rear suspension.

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Research on Comprehensive Optimizing for Special Vehicle Handling and Riding Based on Multi-Objective Optimization Theory

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.467.549 ◽

2013 ◽

Vol 467 ◽

pp. 549-557

Author(s):

Jun Li ◽

Shi Hua Yuan ◽

Ke Chen

Keyword(s):

Solution Method ◽

Optimization Theory ◽

Multi Objective Optimization ◽

Pareto Solutions ◽

Pareto Solution ◽

Vehicle Handling ◽

Multi Objective ◽

Optimization Parameters ◽

Special Vehicle ◽

Vehicle Dynamic Model

According to the comprehensive optimizing problem, a vehicle dynamic model based on whole vehicle parameters was established in this paper. Seven optimization targets which are typical means for the special vehicles handling and riding and the twelve optimization parameters of the suspension system were put forward through analysis. And the multi-objective optimization solving was completed by using the multi-objective optimization tool. The pareto solutions for comprehensive optimization were obtained. Through setting standard of the maximum scores of understeer degree and the minimum value of driver seat departments RMS of full domain weighted acceleration, the Pareto solution was obtained. It can provide a solution method for balance and coordination chassis performance of the special vehicle.

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Simulation of the Wear and Handling Performance Trade-off by Using Multi-objective Optimization and TameTire

Tire Science and Technology ◽

10.2346/tire.16.440404 ◽

2016 ◽

Vol 44 (4) ◽

pp. 280-290

Author(s):

Jeffery R. Anderson ◽

Erin McPillan

Keyword(s):

Tire Model ◽

Multi Objective Optimization ◽

Scaling Factors ◽

Trade Off ◽

Handling Performance ◽

Multi Objective ◽

Design Changes ◽

Development Costs ◽

Physical Testing ◽

Driver Feedback

ABSTRACT Optimization is a key tool used by automakers to efficiently design and manufacture vehicles. During vehicle design, much effort is devoted to efficiently simulate and optimize as many vehicle parameters as possible to save development costs during physical testing. One area of vehicle development that heavily relies on physical testing and subjective driver feedback is the tire design process. Optimizing tire parameters relies either on this subjective feedback from trained drivers, or use of existing tire data or scaling of a reference tire model simulate the desired design change and provide feedback. These data are often difficult to obtain and properly scale to represent the appropriate design changes. Michelin's TameTire model is a force and moment tire model. It includes thermal tire effects and is physically derived, thereby allowing quick access to scaling factors to change a tire's behavior based on pertinent tire design changes such as tread depth and tread stiffness. In this paper, a multi-objective optimization is performed to observe the trade-off between tire wear and handling performance by using the scaling factors available in the TameTire model.

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