Vehicle Load Prediction Control Using Dynamic Mass Estimation
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Solution Overview
Problem
Existing technologies struggle to accurately calculate the total mass of a vehicle, which affects the prediction of driving load and efficient management of battery state of charge (SOC) in electric and hybrid electric vehicles, especially considering variables like luggage, passengers, and driving habits.
Innovation Solution
A vehicle control apparatus and method that utilizes operation data to derive a data trend line, calculate total mass, and predict driving load, using a processor to obtain and analyze data such as speed, transmission efficiency, and gradient angle, with options for default mass estimation when data is insufficient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If total mass of the vehicle is calculated using traditional methods, then the calculation process is simple, but the accuracy of total mass calculation is low
Solution Approach 1:
The system uses operation data from vehicle sensors (speed, acceleration, gradient, transmission ratio) as feedback to continuously refine the total mass calculation through trend line analysis, improving accuracy while maintaining manageable complexity through iterative refinement
Solution Approach 2:
The patent replaces traditional mechanical weighing methods with a computational approach using operation data and trend line analysis, substituting physical measurement systems with data processing algorithms to calculate total mass
2Use of energy by moving object
If the total mass of the vehicle is dependent on a parameter, then the calculation is simplified, but it is difficult to reflect energy flow
Solution Approach 1:
The system dynamically adjusts the total mass representation by incorporating operation data and deriving trend lines that reflect changing energy flow conditions, rather than using a static parameter, allowing the mass calculation to adapt to varying driving conditions
Solution Approach 2:
The patent changes the parameter representation from a fixed value to a dynamically derived value based on operation data and trend line analysis, enabling the system to reflect energy flow variations while maintaining calculation capability
3Measurement precision
If operation data is collected continuously to improve mass calculation accuracy, then the accuracy improves, but the data processing complexity increases
Solution Approach 1:
The system extracts only the essential operation data parameters (speed, acceleration, gradient, transmission ratio) needed for mass calculation from the complete set of available vehicle data, reducing processing complexity while maintaining accuracy
Solution Approach 2:
The patent uses a subset of operation data points to derive trend lines rather than processing all available data continuously, applying partial action to achieve sufficient accuracy while minimizing data processing complexity
Data Source
AI summary
A vehicle control apparatus includes a processor configured to obtain operation data including at least one of a required power value of a vehicle, a speed of the vehicle, transmission efficiency, or a gradient angle. The processor is also configured to calculate total mass of the vehicle, including at least one of tolerance mass of the vehicle, mass of a passenger riding in the vehicle, mass of an object loaded into the vehicle, or mass of fuel of the vehicle. The processor is further configured to calculate predicted data including at least one of a ratio of a time when the vehicle travels in an HEV mode to a total driving time of the vehicle, an SOC of a battery of the vehicle, or a load on a road in front of the vehicle. The processor is additionally configured to control the vehicle based on the predicted data.