Autonomous Vehicle Response Model for Coupled Acceleration Limits
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Solution Overview
Problem
Existing autonomous vehicle systems lack an effective method to dynamically adjust operational parameters such as acceleration and braking limits based on lateral acceleration, leading to underutilization of performance capabilities and safety concerns, especially on varying road conditions.
Innovation Solution
An operational response model that couples longitudinal and lateral acceleration limits, represented as an elliptical shape, allowing for real-time adjustments based on sensor data and geographical information to optimize vehicle performance and safety across different road conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If independent rectangular limits are used for longitudinal and lateral acceleration, then the operational model is simpler to implement, but the operational range is reduced and performance is underutilized
Solution Approach 1:
The patent applies the spheroidality principle by replacing the rectangular operational limits with an elliptical model. The ellipse equation (ax²/by² = 1) couples longitudinal and lateral acceleration limits, allowing the vehicle to operate in a larger, more realistic performance envelope that reflects the actual physics of tire traction. This curved boundary enables greater operational range while maintaining computational tractability through standard mathematical operations.
2Reliability
If conservative limits are chosen to ensure safety within rectangular boundaries, then safety is maintained, but performance capabilities are underutilized
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the elliptical operational boundaries based on real-time vehicle conditions. The ellipse parameters (a and b representing longitudinal and lateral acceleration limits) are modified according to payload mass, road conditions, and environmental factors. This allows the system to expand operational range when conditions permit while maintaining safety margins, thereby optimizing performance utilization without compromising reliability.
3Device complexity
If fixed operational limits are used, then the control system is simpler to implement, but the system cannot adapt to changing road conditions and payload
Solution Approach 1:
The patent applies the dynamics principle by making the operational limits adaptive rather than fixed. The elliptical boundaries are continuously recalculated based on real-time sensor data regarding payload mass, road surface conditions, weather, and vehicle state. This dynamic adjustment allows the control system to optimize performance for each specific operating condition while maintaining a relatively simple underlying mathematical framework based on the ellipse equation.
Data Source
AI summary
An autonomous vehicle is provided that includes one or more sensors coupled to the autonomous vehicle, and a computing device configured to: (i) receive, from the one or more sensors, operational data related to an operation of the autonomous vehicle, (ii) receive geographical data related to an anticipated route of the autonomous vehicle, (iii) generate, for the anticipated route and based on the operational data and the geographical data, an operational response model representing respective operational constraints for one or more operational parameters of the autonomous vehicle, wherein values for the one or more operational parameters are represented along coordinate axes of a geometrical shape, and wherein the one or more operational parameters are mutually coupled to each other, and (iv) responsively execute, based on the operational response model, an autonomous control strategy comprising one or more adjustments to the operation of the vehicle within the respective operational constraints.