Performance Optimization Of Vehicle Handling And Stability Using Multiple Surrogate Models

Performance Optimization of Vehicle Handling and Stability Using Multiple Surrogate Models

Handling and stability are key performances characteristics of vehicles. A vehicle with good handling performance can be controlled precisely by drivers and help avoid accidents. In this paper, the handling and stability optimization was conducted based on a multi-body dynamic vehicle model. Considering the large computational assumption numerical model calculation, surrogate modeling techniques were introduced in this study. The non-dominated sorting genetic algorithm version II (NSGA-II) method was applied in the optimization of each surrogate model. A comparison study on three different surrogate models was conducted to understand their performance in engineering problems. It showed that the simultaneous usage of different surrogate models was essential for obtaining the best possible design.

Selected Contributions of 2024 2nd International Conference on Electric Vehicle and Vehicle Engineering

This book presents an extensive exploration of the latest trends in Electric Vehicle and the boundless opportunities they offer. It has encompassed various facets including Intelligent Vehicle, Electric Vehicle Technology, Power Electronics and Motor Drives, Energy Systems and Storage, Electronic Control Systems, Battery Technologies, Autonomous and Connected Vehicles. The book is tailored for researchers, engineers, and practitioners deeply involved in the field of Electric Vehicle. It delves into the intricate technicalities of EV technology, providing profound insights and comprehensive discussions on its fundamental principles.

Department of Transportation and related agencies appropriations for 1982