Vehicle Overweight Detection via Acceleration Force Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting excessive vehicle mass in hybrid vehicles are inaccurate and sensor-dependent, leading to insufficient traction battery energy reserves during temporary high-power driving situations, impairing driving performance.
Innovation Solution
A method that calculates a statistical value of differential force during specific longitudinal acceleration phases to detect excessive vehicle mass, triggering a battery charge management strategy to increase energy reserves before such situations, using control unit algorithms without additional sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamic axles loads are to be determined more precisely to improve overweight detection accuracy, then measurement precision is improved, but device complexity increases due to requirement of multiple sensors and complex signal processing
Solution Approach 1:
The patent segments the weight measurement task into multiple independent measurement channels (left and right sides of the vehicle) with multiple sensors per channel. Each sensor measures specific wheel positions independently, and the results are combined to determine overall vehicle overload status. This segmentation allows precise local measurements while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives signals from multiple sensors, performs signal conditioning and evaluation, and generates the final overload determination. This intermediary layer (control unit) simplifies the overall system by centralizing the complex signal processing logic, allowing individual sensors to remain relatively simple while achieving high measurement precision through sophisticated intermediate processing.
2Device complexity
If existing weighing systems are used without side-specific differentiation, then device complexity is reduced, but measurement precision deteriorates leading to incorrect overload determinations
Solution Approach 1:
The patent applies local quality by differentiating the measurement and evaluation process for left and right sides of the vehicle. Each side has its own signal evaluation that considers side-specific dynamic axles loads, allowing precise detection of asymmetric loading conditions. This local differentiation ensures that overload determinations account for the specific weight distribution on each side, improving accuracy without requiring complete system redesign.
Data Source
Figure 1~2
Figure 3~4B
Figure 4C
AI summary
Method for detecting (D1) a vehicle overweight state for a vehicle equipped with a power unit comprising a traction battery, the method consisting in selecting (18) a number of vehicle acceleration phases. The method comprises, for each selected acceleration phase : - a step (E1) of calculating the mean value of a differential force equal to the value of the traction loads of the unit from which there are subtracted the value of the acceleration resultant force and the value of the sum of the resistive loads experienced by the vehicle, - a step (E2) of calculating a statistical value on the basis of the calculated mean values of the differential force, and - a step (E3) of comparing the statistical value against a vehicle overweight threshold value (SM0). The vehicle is in an overweight state if the statistical value is higher than the threshold value.