Ford Motor has patented a method for adjusting injection timing of closely spaced multiple injections using the same injector. The system adjusts timing based on previous injections, optimizing fuel delivery in engines. GlobalData’s report on Ford Motor gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Ford Motor, Hydrogen fuel cells was a key innovation area identified from patents. Ford Motor's grant share as of February 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Adjusting injection timing for closely spaced multiple injections in engines

Source: United States Patent and Trademark Office (USPTO). Credit: Ford Motor Co

A recently granted patent (Publication Number: US11927149B2) discloses a method and system for optimizing engine performance through precise fuel injection timing adjustments. The method involves adjusting injection timing during different inter-injection spacings based on previous injection times, utilizing one or more fuel injectors. Additionally, the system includes a controller with computer-readable instructions stored on non-transitory memory to facilitate learning and adjusting injection times for multiple injections during engine cycles.

Specifically, the method outlined in the patent involves adjusting injection timing based on various factors such as inter-injection spacing, pulse width, and previous injection times. The system's controller is designed to learn and adapt injection timing for multiple injections in subsequent engine cycles, ensuring optimal engine performance. By updating functions with learned injection times and spacings, the system can continuously adjust and optimize fuel injection for efficient engine operation. This innovative approach aims to enhance engine efficiency and performance by fine-tuning injection timing based on real-time data and learned parameters, ultimately leading to improved overall engine operation.

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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.