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Towards optimal exploitation of all-electric dual drive powertrains in smart e-motion systems

Arne De Keyser (UGent) and Guillaume Crevecoeur (UGent)
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Abstract
Government institutions and industrial partners are aspiring green alternatives for contemporary transportation systems or industrial processes. All-electric drivetrains demonstrate interesting properties in this perspective, as direct harmful emissions in the atmosphere are eliminated. Optimal exploitation of the associated possibilities requires filling the gaps in state-of-the-art technology in terms of topology design, energy-efficient control strategies and supervisory power flow management agents. First, the design problem is reformulated and tackled using an evolutionary leading to 99,3% less pronounced design time requirements when benchmarked against traditional approaches. Dedicated approximate dynamic programming techniques furthermore reduce the overall operational cost of an isolated drive by up to 57,3%. At the system level, automated regression techniques are engaged to cast the power dissipation of the subsystems into efficient dissipation models. An intelligent supervisory dynamic programming agent, optimizing the power flow paths in the dual drive topology, provides range extensions of approximately 16%. Combining the proposed strategies might thus pave the way for a deeper integration of all-electric vehicles in contemporary society and consequently a more sustainable transportation system.

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Please use this url to cite or link to this publication:

Chicago
De Keyser, Arne, and Guillaume Crevecoeur. 2019. “Towards Optimal Exploitation of All-electric Dual Drive Powertrains in Smart E-motion Systems.” In FEA Research Symposium.
APA
De Keyser, A., & Crevecoeur, G. (2019). Towards optimal exploitation of all-electric dual drive powertrains in smart e-motion systems. FEA Research Symposium. Presented at the FEA Research Symposium 2019.
Vancouver
1.
De Keyser A, Crevecoeur G. Towards optimal exploitation of all-electric dual drive powertrains in smart e-motion systems. FEA Research Symposium. 2019.
MLA
De Keyser, Arne, and Guillaume Crevecoeur. “Towards Optimal Exploitation of All-electric Dual Drive Powertrains in Smart E-motion Systems.” FEA Research Symposium. 2019. Print.
@inproceedings{8603619,
  abstract     = {Government institutions and industrial partners are aspiring green alternatives for contemporary transportation systems or industrial processes. All-electric drivetrains demonstrate interesting properties in this perspective, as direct harmful emissions in the atmosphere are eliminated. Optimal exploitation of the associated possibilities requires filling the gaps in state-of-the-art technology in terms of topology design, energy-efficient control strategies and supervisory power flow management agents. First, the design problem is reformulated and tackled using an evolutionary leading to 99,3% less pronounced design time requirements when benchmarked against traditional approaches. Dedicated approximate dynamic programming techniques furthermore reduce the overall operational cost of an isolated drive by up to 57,3%. At the system level, automated regression techniques are engaged to cast the power dissipation of the subsystems into efficient dissipation models. An intelligent supervisory dynamic programming agent, optimizing the power flow paths in the dual drive topology, provides range extensions of approximately 16%. Combining the proposed strategies might thus pave the way for a deeper integration of all-electric vehicles in contemporary society and consequently a more sustainable transportation system.},
  author       = {De Keyser, Arne and Crevecoeur, Guillaume},
  booktitle    = {FEA Research Symposium},
  location     = {Ghent},
  title        = {Towards optimal exploitation of all-electric dual drive powertrains in smart e-motion systems},
  year         = {2019},
}