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Optimization of Electrohydraulic Systems for Mobile Working Machines

My research focuses on methods for developing electrohydraulic systems for working machines. Primarily, this concerns the use of simulation-based optimization to maximize the system’s and machine’s performance and energy efficiency.

Electrohydraulic Systems

In mobile working machines, such as excavators, articulated haulers and wheel loaders, a diesel engine-powered hydraulic system is today the most common solution for realizing various work functions. With stricter emission regulations, higher energy costs and an increased awareness of negative climate and environmental impacts it is, however, difficult to motivate a continued use of this system type, and much attention is therefore directed towards electrification. Electric systems offer the possibility to replace the diesel engine with a battery as primary power source, as well as lowering the energy losses when the system is used. A big challenge when electrifying working machines, however, is that electric components lack many of the advantages offered by hydraulics, such as high power density, robustness and cost-effectiveness.

With an electrohydraulic system the hypothesis is proposed, that the best solution is a compromise; is it possible to combine electric and hydraulic components to build a motion system that is both energy efficient, robust, cost effective and power dense, and if so how? This question is central to my research, where we investigate the use of simulation-based optimization to find this compromise.

Simulation-Based Optimization

With simulation-based optimization, we let a computer find the best engineering solution for us. This is done by letting the computer explore mathematical models of different aspects we need to consider. In practice, this could mean that we ask the computer for an electrohydraulic system that simultaneously maximizes power density, robustness and energy efficiency. In the end, this can save precious time in the development process and minimize the risk of missing relevant system solutions. 

 

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2020

2019

TeachingShow/Hide content

  • Machine Elements – lesson assistant
  • Mechatronics – lesson assistant
  • Hydraulic Servo Systems – lesson assistant

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Academic Degrees

  • PhD degree in Fluid and Mechatronic Systems, LiU, Sweden, 2019

  • Licentiate of Engineering degree in Fluid and Mechatronic Systems, LiU, Sweden, 2017.

  • Master of Science in Mechanical Engineering, LiU, Sweden, 2014.
 

Awards

Hydraulik och pneumatikföreningen, received a scholarship for best master’s thesis 2014. 

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