Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints

Paolo Mercorelli; Simon Schmidt

Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints. / Mercorelli, Paolo ; Schmidt, Simon.
Mathematical Methods and Optimization Techniques in Engineering. ed. / Dalibor Biolek; Heimo Walter; Ilie Utu; Christian von Lucken. World Scientific and Engineering Academy and Society - WSEAS, 2013. p. 228-233.

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Mercorelli, P & Schmidt, S 2013, Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints. in D Biolek, H Walter, I Utu & C von Lucken (eds), Mathematical Methods and Optimization Techniques in Engineering. World Scientific and Engineering Academy and Society - WSEAS, pp. 228-233, 1st International Conference on Optimization Techniques in Engineering - OTENG 2013, Antalya, Turkey, 08.10.13.

APA

Mercorelli, P., & Schmidt, S. (2013). Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints. In D. Biolek, H. Walter, I. Utu, & C. von Lucken (Eds.), Mathematical Methods and Optimization Techniques in Engineering (pp. 228-233). World Scientific and Engineering Academy and Society - WSEAS.

Vancouver

Mercorelli P , Schmidt S. Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints. In Biolek D, Walter H, Utu I, von Lucken C, editors, Mathematical Methods and Optimization Techniques in Engineering. World Scientific and Engineering Academy and Society - WSEAS. 2013. p. 228-233

Bibtex

@inbook{0dc07e621c0143ae9cd84a9804691504,

title = "Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints",

abstract = "One of the most important issues for the future development of electrical vehicles in connection with their marketing dissemination is the optimization of the energy consumption in order to guarantee an enough autonomy for the travel. This aspect involves challenging optimization control problems. One keypoint for the control is the design of an optimal reference force, or torque, to be tracked by the closed loop controller to guarantee a desired velocity. In this paper an optimization procedure to generate energy optimal powertrain reference force trajectories with dynamic constraints is considered. The resulting optimal force trajectory is the reference force of the control loop. This contribution proposes a way to solve an optimization problem that considers the dynamic structural physical constraints and the properties of the system. Simulation results are presented to validate the proposed procedure. In particular, simulated results using real data from a GPS route profile are shown.",

keywords = "Engineering",

author = "Paolo Mercorelli and Simon Schmidt",

year = "2013",

language = "English",

isbn = "978-960-474-339-1",

pages = "228--233",

editor = "Dalibor Biolek and Heimo Walter and Ilie Utu and {von Lucken}, Christian",

booktitle = "Mathematical Methods and Optimization Techniques in Engineering",

publisher = "World Scientific and Engineering Academy and Society - WSEAS",

address = "Greece",

note = "1st International Conference on Optimization Techniques in Engineering - OTENG 2013 ; Conference date: 08-10-2013 Through 10-10-2013",

}

RIS

TY - CHAP

T1 - Generating Energy Optimal Powertrain Force Trajectories with Dynamic Constraints

AU - Mercorelli, Paolo

AU - Schmidt, Simon

N1 - Conference code: 1

PY - 2013

Y1 - 2013

N2 - One of the most important issues for the future development of electrical vehicles in connection with their marketing dissemination is the optimization of the energy consumption in order to guarantee an enough autonomy for the travel. This aspect involves challenging optimization control problems. One keypoint for the control is the design of an optimal reference force, or torque, to be tracked by the closed loop controller to guarantee a desired velocity. In this paper an optimization procedure to generate energy optimal powertrain reference force trajectories with dynamic constraints is considered. The resulting optimal force trajectory is the reference force of the control loop. This contribution proposes a way to solve an optimization problem that considers the dynamic structural physical constraints and the properties of the system. Simulation results are presented to validate the proposed procedure. In particular, simulated results using real data from a GPS route profile are shown.

AB - One of the most important issues for the future development of electrical vehicles in connection with their marketing dissemination is the optimization of the energy consumption in order to guarantee an enough autonomy for the travel. This aspect involves challenging optimization control problems. One keypoint for the control is the design of an optimal reference force, or torque, to be tracked by the closed loop controller to guarantee a desired velocity. In this paper an optimization procedure to generate energy optimal powertrain reference force trajectories with dynamic constraints is considered. The resulting optimal force trajectory is the reference force of the control loop. This contribution proposes a way to solve an optimization problem that considers the dynamic structural physical constraints and the properties of the system. Simulation results are presented to validate the proposed procedure. In particular, simulated results using real data from a GPS route profile are shown.

KW - Engineering

M3 - Article in conference proceedings

SN - 978-960-474-339-1

SP - 228

EP - 233

BT - Mathematical Methods and Optimization Techniques in Engineering

A2 - Biolek, Dalibor

A2 - Walter, Heimo

A2 - Utu, Ilie

A2 - von Lucken, Christian

PB - World Scientific and Engineering Academy and Society - WSEAS

T2 - 1st International Conference on Optimization Techniques in Engineering - OTENG 2013

Y2 - 8 October 2013 through 10 October 2013

ER -

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Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review