Jabil had seven patents in future of work during Q4 2023. Jabil Inc filed patents for a low voltage, low frequency multi-level power converter, an in-mold lid closing apparatus with actuation assemblies, and a predictive analytics system for real-time analytics in manufacturing. The power converter includes phase-shifting inverters for power conversion, the lid closing apparatus has a controller for adjusting lid position, and the analytics system uses predictive models to improve machine performance with visual feedback. GlobalData’s report on Jabil gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Jabil grant share with future of work as a theme is 28% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Low voltage, low frequency, multi level power converter (Patent ID: US20230412091A1)

The patent filed by Jabil Inc. discloses a low voltage, low frequency multi-level power converter that includes a circuit with phase-shifting inverters in series, low voltage source inputs, and square wave outputs that are smoothed into semi-sine wave outputs. The power converter is designed for power conversion and may be used with photovoltaic power sources, specifically with photovoltaic cells of PV modules.

The claims associated with the patent detail the specific configurations and features of the power converter, such as the use of phase-shifting inverters to generate square wave outputs, the smoothing of these outputs into semi-sine waves, and the integration of low voltage inputs with the inverters. The patent also mentions the inclusion of voltage regulators, different inverter topologies, and the ability to connect the semi-sine wave output to a utility grid. Additionally, the patent highlights the use of low frequency switching for the inverters and the potential applications of the power converter in photovoltaic systems with features like maximum power point tracking and energy storage.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.