Optimizing Tire NVH Performance in Electric Vehicles: A Comprehensive Approach Using Benchmarking, Simulation, and Validation

The electrification of mobility is becoming increasingly vital in meeting global zero carbon footprint targets, with nations setting ambitious goals to achieve by 2030. As part of this transformation, the development of Electric SUVs (E-SUVs) capable of navigating diverse terrains and road conditions presents a significant challenge, often extending vehicle development timelines. To address these demands, many Original Equipment Manufacturers (OEMs) are adopting a ‘Born-Electric’ platform approach, specifically tailored to the unique requirements of electric vehicles. However, this approach introduces several challenges, particularly in maintaining the Noise, Vibration, and Harshness (NVH) levels expected by customers. The elimination of the Internal Combustion Engine (ICE) powertrain has significantly shifted the NVH dynamics of E-SUVs, with tire road rolling noise becoming a dominant factor influencing in-cabin noise perception, Tire-induced noise and vibrations emerge as primary contributors to cabin discomfort, emphasizing the need for innovative solutions to address these issues effectively. A systematic and validated approach to NVH optimization is essential throughout the vehicle development process to avoid conflicting design iterations. This study introduces a novel methodology for NVH development, focusing on improving Vehicle In-Cabin Noise (ICN) performance by optimizing tire-induced vibrations. Leveraging advanced simulation techniques, such as the integration of the CDtire model within vehicle NVH development processes, enables thorough analysis and mitigation of tire noise prior to physical tire production. This method ensures efficient NVH optimization while significantly reducing the development time and costs associated with electric vehicle platforms.