AI-Powered Adaptive Suspension Systems

Abstract

The use of artificial intelligence (AI) in vehicle dynamics has gained traction in the fields of contemporary vehicle technology. Vehicle dynamics and ride comfort are inextricably linked with the chassis broadly. Yet, automotive suspensions are largely static devices. Unlike engine technology, it has taken over half a century to change the idea of suspension design, especially for commodity vehicles that make up the majority of the annual global sales. AI, machine learning (ML), and neural networks (NN) aspire to rectify this decades-old predicament, allowing active and predictive response in real-time. Rooted in the significance of AI in automotive technology—namely, vehicle dynamics solutions and ride comfort—as well as the opportunity for deep R&D and competition, this paper examines AI-powered adaptive or active suspension systems. The current state of the traditional dampers and adaptive suspension systems is articulated. Their limitations to the performance requirements of the contemporary vehicle make them insufficient irrespective of configuration, conformation, or construction.