Smart Motor Local Intelligence for Decentralized Vehicle Control
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Solution Overview
Problem
Modern motor systems in vehicles require centralized controllers for individual motor control, limiting scalability and efficiency due to large data packets and the need for multiple controllers, which increases complexity and resource utilization.
Innovation Solution
Implementing smart motors with integrated processors, memory, and a layered software architecture that allows for decentralized control via a control bus, enabling each motor to determine its actions independently based on received commands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If centralized controllers are used to control individual motors, then motor control precision is improved, but system complexity and the number of controllers required increases
Solution Approach 1:
The patent divides the control system into autonomous motor units, where each motor contains its own processor and control logic. This segmentation eliminates the need for a centralized controller, reducing system complexity while maintaining individual motor control precision through distributed intelligence.
Solution Approach 2:
Each motor unit is designed to be self-sufficient with integrated processors that independently execute control algorithms. The motors self-manage their operation without external centralized control, simplifying the overall system architecture while preserving precise control capabilities.
2Adaptability or versatility
If multiple controllers are deployed to control more motors, then the number of controllable motors increases, but resource overhead and system complexity increases
Solution Approach 1:
The patent creates a universal motor unit design that can perform multiple functions and control different motor types through standardized communication protocols. This multi-functionality allows a single motor unit design to replace multiple specialized controllers, increasing adaptability while reducing the number of distinct control devices needed.
Solution Approach 2:
The system employs dynamic configuration where motor units can be added or removed from the network without requiring system reconfiguration. The distributed architecture allows flexible scalability, enabling the system to adapt to varying numbers of motors without a proportional increase in controller complexity.
3Loss of information
If large data packets are transmitted to motors, then control information completeness is improved, but transmission time and communication overhead increases
Solution Approach 1:
The patent segments control information into essential and non-essential components, transmitting only critical data packets between motor units. This segmentation reduces transmission time and communication overhead while maintaining completeness of essential control information needed for motor operation.
Solution Approach 2:
Each motor unit incorporates local processing capabilities that enable it to interpret and act on compact control signals independently. This self-service approach eliminates the need for large data packets, as each unit can make decisions based on concise transmitted information combined with its own sensor data and control algorithms.
Data Source
AI summary
A smart motor includes a motor, a memory, and an electronic processor connected to the motor and the memory. The electronic processor executes a software stack including a hardware layer, an operating layer, and an application layer. The hardware layer provides input/output operations between the motor and the electronic processor. The operating layer provides an intermediary between the hardware layer and the application layer. The application layer executes functions stored in the memory to communicate with and control the hardware layer. Further, the hardware layer, the operating layer, and the application layer selectively control operation of the motor based on one or more signals received from an input device.