2019 SAE Corporate Learning GV Resource Guide - P18294612

NOISE, VIBRATION AND HARSHNESS

• Describe the relative importance of powertrain noise, wind noise, and road noise in the vehicle’s interior • Identify the key sub-components of powertrain noise and means to control them • Explain the key NVH issues specific to electrified vehicles and means to develop appropriate countermeasures • Identify key metrics available to assess the NVH performance of electrified vehicles • Develop an awareness of advanced NVH methodologies available to design the sound character of electrified vehicle Who Should Attend This seminar has been developed for engineers involved in all fields related to the design or development of electrified vehicles. Individuals involved with component design/release responsi- bilities in ICE, electric motor, transmissions, powertrain mounts, vehicle body, and chassis areas will find this course helpful. Prerequisites An undergraduate degree in engineering or a strong technical background is highly recommended. A basic knowledge of college algebra, college physics, and a familiarity with vehicle and powertrain systems is needed. Topical Outline • Automotive NVH Fundamentals −− Fundamentals of noise, vibration, and sound quality −− Vehicle NVH −− Powertrain-induced interior noise −− Engine noise −− Transmission noise −− Driveline noise −− Intake noise −− Exhaust noise −− Road-induced noise −− Wind noise −− Vehicle interior noise simulation for powertrain-induced noise −− Vehicle interior noise simulation for road-induced noise −− Vehicle sound quality −− Vehicle exterior noise simulation • HEV, ReEV, PHEV, and EV NVH −− HEV, ReEV, PHEV, and EV architecture definition −− “Road Map” for vehicle NVH development of HEV, ReEV, PHEV, and EV −− ICE start/stop noise using case study examples −− ICE start/stop vibration using case study examples −− Active control for start/stop refinement using case study examples] −− Motor NVH using case study examples −− HEV/EV driveline NVH using case study examples −− Power electronics noise −− Accessory noise −− Application of powertrain-induced vehicle interior noise simulation

−− Application of road-induced vehicle interior noise simulation −− Sound character of EV using case study examples −− Sound character of ReEV using case study examples −− Exterior noise considerations for EV and ReEV

Instructor: Fee: $835

Kiran Govindswamy

.7 CEUs

URL:

sae.org/learn/content/c1128/

Practical NVH Signal Processing Methods 2 Day | Classroom Seminar I.D.# C0431 Signal processing has become a critical tool in optimizing vehicle noise. This seminar will help you to understand the foundation common to all NVH data acquisition equipment including digitizing, windows, aliasing, averaging techniques, and common analysis functions such as the power spectrum, transfer function and coherence. Fundamental concepts such as filtering, modulation, convolution, and correlation, as well as specialized techniques used in rotating machinery such as adaptive re-sampling and order tracking, will be covered. The seminar will also cover multi-input multi-output (MIMO) signal processing, array based solutions for force identification, source and path characterization and data visualization. Brief introductions to emerging concepts will also be explored and computer demonstrations, physical experiments and case studies will be used to illustrate applied, real-world problems. Learning Objectives By attending this seminar, you will be able to: • Explain the fundamental controls typical in modern spectrum analysis tools • Interpret NVH data and judge its relevance to physical phenomena • Extract new types of useful information from NVH data • Implement new signal processing techniques Who Should Attend NVH technicians, engineers and managers who want to understand how NVH data is produced and interpreted will find this seminar valuable. The material is presented at a level suitable for beginners, but offers the more experienced practitioners new insight into the concepts presented through the illustrations and demonstrations that are included. Prerequisites The majority of the course material is presented through quali- tative descriptions, practical examples, illustrations and demon- strations, which require only basic mathematical skills. However, some familiarity with time and frequency domain measurements, linear algebra and statistics will enhance overall understanding of the material.

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