Autonomous Vehicle Component Configuration for Power and Durability
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Solution Overview
Problem
Autonomous vehicles (AVs) consume unnecessary power and reduce component durability by operating at the highest configuration even when not required, leading to inefficiencies in performance optimization.
Innovation Solution
A method and system that dynamically configure AV components based on real-time factors such as route, road type, weather, and location, selecting an optimal configuration to minimize power consumption while maintaining safety key performance indicators (KPIs).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AV components operate at the highest configuration to maintain safety KPIs, then safety and reliability are improved, but power consumption increases and component durability decreases
Solution Approach 1:
The patent implements dynamic configuration adjustment of AV components based on real-time environmental conditions and operational context. The system continuously monitors factors such as weather, traffic density, and road conditions, then adapts component configurations accordingly - for example, adjusting sensor operational modes or processing intensity - to maintain safety KPIs while optimizing power consumption and extending component durability.
2Reliability
If AV components operate at the highest configuration to mitigate worst-case scenarios, then reliability is improved, but unnecessary power is consumed when not required
Solution Approach 1:
The patent changes operational parameters of AV components dynamically based on contextual factors. The system evaluates environmental conditions, traffic patterns, and route characteristics to adjust configuration parameters such as sensor sensitivity, processing frequency, and component activation states. This allows the system to maintain adequate safety performance while avoiding unnecessary power consumption in normal operating conditions.
3Reliability
If AV components operate continuously at highest configuration, then safety is maintained, but component durability is reduced
Solution Approach 1:
The patent implements dynamic configuration adjustment of AV components based on real-time environmental conditions and operational context. The system continuously monitors factors such as weather, traffic density, and road conditions, then adapts component configurations accordingly - for example, adjusting sensor operational modes or processing intensity - to maintain safety KPIs while optimizing power consumption and extending component durability.
Solution Approach 2:
The system employs periodic evaluation and adjustment of component configurations rather than continuous maximum operation. By cycling through configuration states based on changing conditions and using duty cycling approaches where components operate at high intensity only when necessary for safety, the system extends component lifespan while maintaining safety performance.
Data Source
AI summary
Optimizing performance of an autonomous vehicle (AV) includes acquiring information pertaining to a plurality of factors associated with the AV. The plurality of factors includes a route to be traversed by the AV for a ride, a type of a road included in the route, a real-time location of the AV, a time of travel, and a weather condition at the time of travel. An optimal configuration is selected based on the acquired information for operating components of the AV. The components are configured in real time to operate at the optimal configuration. When the components operate at the optimal configuration, a power consumed by the components is reduced and a durability of the components is increased relative to when the components operate at a first configuration that is different from the optimal configuration.