Thomas Braunl

Professor, Dip(Info) Kaiserslautern, MS S.Calif., PhD DrHabil Stuttgart, MIEEE

  • The University of Western Australia (M018), 35 Stirling Highway, Room 4.15, Electrical Engineering Building, Perth campus

    6009 Perth

    Australia

  • 842 Citations
  • 16 h-Index
19972019
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Personal profile

Biography

Thomas Bräunl is Professor at The University of Western Australia, Perth, where he directs the Renewable Energy Vehicle Project (REV), having converted several road-licensed cars to battery-electric drive. He is Technical Director of the West Australian Electric Vehicle Trial and the Principal Investigator of the ARC Electric Vehicle Fast-Recharging Project. He has worked on Driver-Assistance Systems with Daimler and on Electric Vehicle Charging Systems with BMW. Professor Bräunl holds a Diploma from Univ. Kaiserslautern, Germany, a M.S. from USC, Los Angeles, and a PhD and Habilitation from Univ. Stuttgart.

Roles and responsibilities

Head, CIIPS Research Group
Director, REV Project
Technical Director, WA Electric Vehicle Trial

Research

Electromobility, Robotics, Embedded Systems

Keywords

  • Electromobility
  • Automotive systems
  • Robotics
  • Embedded systems
  • Image processing
  • Parallel processing

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Projects 1998 2019

Research Output 1997 2018

File
Electric vehicles
Energy efficiency
Recovery
Deceleration
Regenerative braking
Brakes
Dynamometers
Electric vehicles
Chassis
Braking
Electric vehicles
Energy efficiency
Deceleration
Railroad cars
4 Citations

Modeling and Offset-Free Model Predictive Control of a Hydraulic Mini Excavator

Bender, F. A., Goltz, S., Braunl, T. & Sawodny, O., 1 Oct 2017, In : IEEE Transactions on Automation Science and Engineering. 14, 4, p. 1682-1694 13 p., 7934341

Research output: Contribution to journalArticle

Excavators
Model predictive control
Hydraulics
Automation
Machinery
1 Citations

Predictive operator modeling for virtual prototyping of hydraulic excavators

Bender, F. A., Mitschke, M., Bräunl, T. & Sawodny, O., 1 Dec 2017, In : Automation in Construction. 84, p. 133-145 13 p.

Research output: Contribution to journalArticle

Excavators
Hydraulics
Machinery
Gradient methods
Constrained optimization