Apollo Autonomous Driving USA LLC has secured a major milestone in autonomous systems with a newly patented power architecture for self-driving vehicles. This innovation focuses on their recent patent, titled ‘Redundant power supplies for an autonomous driving system’. The patent describes a multi-tiered distributed power framework designed to maintain critical vehicle functions and execute safety shutdowns during failures.

Enhancing Autonomous Vehicle Safety

Because of its status as an outstanding and foundational invention in this rapidly evolving industry, this innovation has proudly won Swanson Reed’s Patent of the Month in the Automotive, Battery, and Self-Driving Technologies sector for the month of February 2026.

Patent Abstract

Embodiments presented herein include systems, methods, and non-transitory computer-readable medium or media for controlling power for a vehicle that utilizes one or more computing systems for control, such as an autonomous vehicle. Embodiments comprise multi-tiered distributed power supplies. In one or more embodiments, the overall power system may be structured into distinct levels for enhanced reliability and efficiency. Certain power systems may be tasked with supporting certain systems of the vehicle, which may be correlated to the amount of power (i.e., maximum power and duration) the tier can supply. Because of the inherent risks related to vehicles, a paramount emphasis of the power system design and operation is related to safety. In one or more embodiments, a safety power supply is included as a backup system and may be used to perform one or more safety shutdown procedures.

Meeting U.S. R&D Tax Credit Rules

To qualify for the Research and Development (R&D) tax credit in the United States, an invention must satisfy the IRS’s Four-Part Test. Here is how Apollo’s patent aligns with those statutory requirements:

• Permitted Purpose: The development of a multi-tiered distributed power supply aims to create a new or improved function—specifically, drastically improving the performance, reliability, and safety of autonomous vehicles under duress.
• Technological in Nature: The creation of these power systems inherently relies on the hard sciences, specifically electrical engineering, systems engineering, and computer science.
• Elimination of Uncertainty: Prior to development, there was technological uncertainty regarding how to safely and efficiently manage total or partial power failures in AI-driven vehicles without catastrophic failure. This framework eliminates that uncertainty through a structured, redundant design.
• Process of Experimentation: Developing this required evaluating different power distribution models, simulating power failure scenarios, and testing backup activation triggers to discover the optimal multi-tiered structure.

3 Practical Applications Qualifying for R&D Tax Credits

1. Firmware and Algorithm Development: Writing, testing, and iterating the codebase required to detect a primary power fluctuation and seamlessly trigger the safety power supply with near-zero latency. This involves rigorous software simulation and trial-and-error debugging.
2. Hardware Integration and Thermal Testing: Designing and physically experimenting with battery cell configurations, wiring harnesses, and thermal management systems to ensure the safety power tier can sustain the necessary maximum power duration for a full emergency shutdown procedure.
3. System-Level Safety Simulations: Conducting closed-track or simulated environment testing where an autonomous vehicle is deliberately subjected to catastrophic system failures. Engineers would actively experiment with different redundancy thresholds to map out edge cases and achieve peak reliability.