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Doosan Bobcat North America, Inc. recently secured a major technological breakthrough with the issuance of U.S. Patent No. US12774583B2. This patent, titled ‘Motor control for electrically powered power machine’, introduces an advanced control system for electric heavy equipment. Inventor Christopher Young developed a design that enhances positional accuracy for work elements during operations, improves power management, and provides a smoother ride during drive operations.

NORTH DAKOTA PATENT OF THE MONTH – NOVEMBER 2026

The innovation focuses on optimizing the performance of electrically powered machines, such as compact loaders and excavators. This system uses specialized motor control algorithms to precisely manage electrical devices connected to the machine’s lift arms and other work elements. A unique float functionality allows for more adaptive interaction with the terrain. This setup allows for exceptional control, energy efficiency, and operational smoothness. Swanson Reed granted this invention the North Dakota Patent of the Month for November 2026 because it effectively solves persistent technical uncertainties regarding power distribution, ride quality, and attachment control in electric construction vehicles.

Practical Applications and R&D Tax Credit Eligibility

The practical applications of this patent present strong opportunities for Research and Development tax credits in the United States. Companies developing electric heavy machinery often engage in iterative testing to overcome engineering challenges related to battery power management, electrical actuation, and dynamic load handling. The process of designing, prototyping, and validating the performance of advanced motor control algorithms requires dedicated experimentation. These activities directly align with the requirements of IRS Section 41 for qualified research. By documenting the systematic elimination of technical uncertainties in their design phases, equipment manufacturers can leverage these experimental efforts to claim substantial R&D tax incentives.

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