Integrated Simulation Approach for System Architecture Design for xEV
VPC - Simulation und Test 2016
Methodik für Hybridantriebe
Referent(in): Vratislav Ondrak, T. Stewart, Ricardo Software, Großbritannien
OEMs have to improve vehicle emissions and fuel economy in order to meet legislative targets and customers’ requirements. As a result, future powertrain configurations will increase in complexity with advanced engine technologies and multi-mode hybrid transmissions. These new technologies, combined with a variety of possible configurations, control strategies and design variables make the analysis challenging in terms of quantifying a realistic fuel economy potential of a technology in question.
Often, the realized benefit of a specific technology is highly dependent on the ability of the control system to operate that technology efficiently. The identification and evaluation of a potential hybrid / electric vehicle technologie is not trivial due to the high degree of variability within the multiple control systems. So the fuel economy benefits based on vehicle simulation tools and engineering judgement may be compromised let alone not fully explored as a poor control strategy may unfairly limit or hide the maximum potential benefit of a superior technology.
To address this challenge, Ricardo has applied a methodology combining a Dynamic Programming technique (DP) used with vehicle modeling and simulations performed in IGNITE, a 1 D system-level analysis tool. The DP results suggest a maximum improvements potential and possible changes to the technology in use (controls, component sizing). Post-processing techniques such as design space exploration and response surface modeling applied to a dynamic simulation are used for the system optimization.
Quantifying benefits the solutions are evaluated against the traditional longitudinal vehicle performance metrics – such as fuel economy, 0-60 mph and max speed and fuel economy indicators suitable for the hybrid vehicles.
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