DOE OSTI · 3398700
HOLISTIC ENERGY EFFICIENCY ANALYSIS OF ELECTRIFIED OFF-HIGHWAY MATERIAL HANDLER: FROM DRIVE CYCLE CHARACTERIZATION TO POWERTRAIN, HYDRAULIC, AND THERMAL SYSTEM PERFORMANCE
Abstract
Three complexities surrounding the operation and testing of hybrid electric, heavy-duty nonroad machines have been addressed experimentally and using 1D simulation. Their resolutions have been intertwined with the development of a prototype machine that was proven to reduce fuel consumption in excess of 20%. A real-world drive cycle that leveraged hydraulic cylinder position was developed and utilized to ensure accurate reproduction of hydraulic work between the baseline and hybrid machines, while simultaneously maintaining less than 5% RMS error in position for main load handling functions. The newly developed, machine-specific drive cycle also contributed towards making equivalent comparisons in energy consumption between machine types through composite performance metrics that were extrapolated over a typical shift duration. Lastly, this work addressed thermal management energy consumption, a topic of increasing popularity when discussing electrified vehicles, by proposing a 1.4% energy savings through special mechanization and control of cooling system components.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Czarnecki, Alexander [Michigan Technological Univ., Houghton, MI (United States)], Worm, Jeremy [Michigan Technological University APS LABS], Robinette, Darrell [Michigan Technological Univ., Houghton, MI (United States)], Naber, Jeffrey [Michigan Technological Univ., Houghton, MI (United States)], Wanless, David D. [Michigan Technological Univ., Houghton, MI (United States)]. 2025-08-25. HOLISTIC ENERGY EFFICIENCY ANALYSIS OF ELECTRIFIED OFF-HIGHWAY MATERIAL HANDLER: FROM DRIVE CYCLE CHARACTERIZATION TO POWERTRAIN, HYDRAULIC, AND THERMAL SYSTEM PERFORMANCE. https://doi.org/10.37099/mtu.dc.etdr%2F1955
Cite the original work for its findings. Save a collection to share your selection of sources.