An application case study of state-based power optimization with partial networking

In this paper we perform an application case study of state-based power optimization strategies, which exploit the AUTOSAR energy saving mechanism partial networking. We performed energy consumption measurements of the Electronic Control Units (ECUs) on a production-class Electric Vehicle (EV). Based on the measurement results, we analyzed both the applicability and energy saving effect of the strategies. Results show up to 15.0% energy saving impact on the ECUs energy consumption on our test drives.

[1]  Wolfgang Rosenstiel,et al.  State-based power optimization using mixed-criticality filter for automotive networks , 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

[2]  Wolfgang Rosenstiel,et al.  Advanced driver assistance system for optimized recuperation under consideration of parameter uncertainties , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).

[3]  Adam Szczepanek,et al.  Fast Charging vs. Slow Charging: Pros and cons for the New Age of Electric Vehicles , 2009 .

[4]  H. Mokhtari,et al.  Effect of high-efficient electric motors on efficiency improvement and electric energy saving , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[5]  O. Bringmann,et al.  Optimized recuperation strategy for (Hybrid) Electric Vehicles based on intelligent sensors , 2012, 2012 12th International Conference on Control, Automation and Systems.

[6]  Wolfgang Rosenstiel,et al.  Impact analysis of AUTOSAR energy saving mechanisms for automotive networks , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[7]  Thomas Liebetrau,et al.  Energy Saving in Automotive E / E Architectures , 2013 .