Hybrid Powertrain Operation Optimization Considering Cross Attribute Performance Metrics

Paper #:
  • 2017-01-1145

Published:
  • 2017-03-28
DOI:
  • 10.4271/2017-01-1145
Citation:
De Hesselle, E., Grozde, M., Adamski, R., Rolewicz, T. et al., "Hybrid Powertrain Operation Optimization Considering Cross Attribute Performance Metrics," SAE Technical Paper 2017-01-1145, 2017, doi:10.4271/2017-01-1145.
Pages:
5
Abstract:
Hybrid electric vehicles are continuously challenged to meet cross attribute performance while minimizing energy usage and component cost in a very competitive automotive market. As electrified vehicles become more mainstream in the marketplace, hybrid customers are expecting more attribute refinement in combination with the enhanced fuel economy benefits. Minimizing fuel consumption, which tends to drive hybrid powertrain engines to operate under lugging type calibrations, traditionally challenge noise, vibration, and harshness (NVH) metrics. Balancing the design space to satisfy the cost metrics, energy efficiency, noise and vibration & drivability under the hybrid engine lugging conditions can be optimized through the use of multiple CAE tools.This paper describes how achieving NVH metrics can put undesirable boundaries on Powertrain Operation which could affect other performance attributes. Up front modeling of the full hybrid systems combined with powertrain lugging conditions allows the engineering teams to optimize the powertrain hardware designs while minimizing the impact on fuel efficiency, drivability, and NVH.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Training / Education
2005-07-01
Training / Education
2010-03-15
Article
2016-08-15