Predictive Lateral Load Transfer Ratio for Vehicle Rollover
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Solution Overview
Problem
Existing methods for determining the Lateral Load Transfer Ratio (LTR) for vehicle rollover propensity are inadequate as they rely on static measurements at a fixed point in time, leading to premature activation of rollover prevention systems or delayed intervention due to dynamic changes in vehicle operation.
Innovation Solution
A predictive Lateral Load Transfer Ratio (PLTR) is calculated by evaluating vehicle performance factors over a period of time, using sensors and models to provide advanced warning of impending rollover and control torque-biasing devices like electronic limited-slip differentials to prevent rollover.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If LTR threshold is set low to detect rollover propensity early, then warning is provided earlier, but false alarms occur during normal driving
Solution Approach 1:
The patent transitions from static LTR threshold checking to dynamic predictive LTR (PLTR) evaluation that adapts to changing vehicle conditions. The system uses vehicle performance factors evaluated over time periods to dynamically adjust warning thresholds, allowing early detection during critical maneuvers while avoiding false alarms during normal driving variations.
Solution Approach 2:
The system calculates PLTR values in advance by evaluating vehicle performance factors over a time period before actual rollover occurs. This preliminary evaluation provides advance warning while accounting for dynamic changes in vehicle operation, allowing the system to distinguish between normal transient conditions and genuine rollover risks.
2Reliability
If LTR threshold is set high to avoid false alarms, then system reliability improves, but warning is delayed or missed
Solution Approach 1:
The system employs dynamic threshold adjustment based on predictive LTR calculations that consider vehicle performance factors over time. This allows the system to maintain high reliability by filtering out normal driving variations while simultaneously providing timely warnings when genuine rollover risk is detected, resolving the trade-off between sensitivity and false alarm rate.
3Device complexity
If static LTR measurement is used at fixed point in time, then system complexity is reduced, but accuracy in detecting dynamic rollover risk deteriorates
Solution Approach 1:
The patent implements a dynamic evaluation system that assesses vehicle performance factors over time periods rather than at fixed instants. This dynamic approach captures the evolving nature of rollover risk while maintaining manageable system complexity through the use of predictive algorithms that process temporal data patterns.
Solution Approach 2:
The system transitions from single-point-in-time LTR measurement to multi-dimensional evaluation by incorporating time as an additional dimension. Vehicle performance factors are evaluated over time periods, creating a temporal dimension that enhances detection accuracy without proportionally increasing system complexity.
Data Source
AI summary
A method for controlling stability of a vehicle includes the steps of determining a predictive lateral load transfer ratio of the vehicle by evaluating vehicle performance factors over a period of time, and controlling operation of the vehicle based on the predictive lateral load transfer ratio.