Predictive Energy Management Strategies in Virtual Driving Tests - Early Evaluation of Networked Controller Functions in Realistic Use Cases

Paper #:
  • 2013-26-0066

Published:
  • 2013-01-09
Citation:
Witter, H., Lange, S., and Talwar, K., "Predictive Energy Management Strategies in Virtual Driving Tests - Early Evaluation of Networked Controller Functions in Realistic Use Cases," SAE Technical Paper 2013-26-0066, 2013, https://doi.org/10.4271/2013-26-0066.
Pages:
6
Abstract:
The evaluation of vehicle characteristics at an early phase of functional development is a key task in the definition of a viable system architecture. Today this is complicated by the fact that full vehicle characteristics, in particular those of modern hybrid vehicles, are dependent on a broad range of electrical, mechanical, thermal and control-related partial aspects. In addition to the current driving status and information on the environment, modern energy management systems (e.g. control systems, range, charging and thermal management) also require predictive information on the driving route to be expected. This includes, for example, uphill road grades, curve radii, speed limits, number of lanes, urban and residential areas, intersections and traffic lights. All together, the intelligent fusion of this information provides for increased safety and energy efficiency.
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