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Faraday Future Files Three Patent Applications Through its Future AIHER Subsidiary Relating to AI-Powered Hybrid Extended-Range Systems
The three patent applications aim to enhance the efficiency and architecture of AI-powered range-extended powertrain systems by enabling personalized energy
About this update from Faraday Future Intelligent Electric Inc.
[{"type":"text","content":"\n\nThe three patent applications aim to enhance the efficiency and architecture of AI-powered range-extended powertrain systems by enabling personalized energy management through AI deep reinforcement learning, while simplifying system structure and expanding performance and cross-domain applicability.\n\n\nThe AIHER system, which is being designed and developed, could be used on future generations of FX models to overcome the weaknesses of conventional hybrid and plug-in hybrid systems, making it particularly suited to cold weather areas.\n\n\n LOS ANGELES--(BUSINESS WIRE)--\nFaraday Future Intelligent Electric Inc. (NASDAQ: FFAI) (“Faraday Future”, “FF” or “Company”), a California-based global shared intelligent electric mobility ecosystem company, today announced that it has submitted three patent applications through its recently established subsidiary, Future AIHER, seeking to establish a leadership position in intelligent electric powertrain innovation.\n\nLaunched in March 2025, Future AIHER is the world’s first AI hybrid extended-range electric powertrain system company. It is dedicated to the design, development and commercialization of cutting-edge AI-driven range extender systems for Extended Range Electric Vehicles (EREVs), including two potential flagship products: a super AI hybrid extended-range system (AIHER) and a super AI extended-range system. These systems would seek to blend the strengths of traditional hybrid and range-extended architectures, with a primary focus on range extension and a supporting hybrid drive—and could redefine performance, energy optimization, and system integration.\n\nThe three patent applications mark Future AIHER’s first major technical disclosures:\n\n\nThe first patent application relates to deep reinforcement learning (DRL) techniques to optimize dynamic energy management in hybrid systems. This innovation could provide a technological pathway for FFID to deliver real-time, personalized energy and power management—tuned to each driver’s unique style and route conditions.\n\n\nThe other two patent applications involve structural innovations that simplify the architecture of plug-in hybrid systems. By decoupling the engine, generator, and driving wheels, the systems increase modularity and functionality, enabling powerful yet efficient performance from a streamlined configuration.\...