Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems: Predictive Control During Acceleration Events to Improve Fuel Economy

Author:

White Samantha,Rabinowitz Aaron,Ang Chon Chia,Trinko David,Bradley Thomas

Publisher

Springer International Publishing

Reference36 articles.

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3. Argonne National Laboratory: Downloadable dynamometer database — argonne national laboratory (2017). https://www.anl.gov/energy-systems/group/downloadable-dynamometer-database, Accessed 16 Oct 2017

4. Asher, Z.D., Baker, D.A., Bradley, T.H.: Prediction error applied to hybrid electric vehicle optimal fuel economy. IEEE Trans. Control Syst. Technol. 26(6), 1–14 (2017)

5. Asher, Z.D., Trinko, D.A., Bradley, T.H.: Increasing the fuel economy of connected and autonomous Lithium-Ion electrified vehicles. In: Behaviour of Lithium-Ion Batteries in Electric Vehicles. Green Energy and Technology, pp. 129–151. Springer, Cham (2018)

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