Electric Vehicle Control Model Error Segmentation
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Solution Overview
Problem
Conventional electric vehicle control methods face instability due to errors caused by steady and instant factors, leading to abrupt changes in input values, especially in environments with varying disturbances, as they primarily focus on offset-free compensation without distinguishing between these factors.
Innovation Solution
A method for controlling electric vehicle driving that calculates errors between vehicle output and model output, determines the causing factors, generates weights based on these factors, and applies them to parameters to improve control stability, using a processor with calculation, determination, estimation, and compensation units to differentiate between steady and instant errors and adjust parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional control methods focus on offset-free compensation without distinguishing between steady and instant error factors, then compensation for model-plant differences is achieved, but abrupt changes in input values occur leading to control instability
Solution Approach 1:
The error compensation is segmented into two distinct components: steady error factor compensation and instant error factor compensation. The determination unit analyzes the error signal to identify whether it stems from steady factors (persistent model-plant differences) or instant factors (sudden disturbances). This segmentation allows each type of error to be compensated appropriately, preventing abrupt torque changes while maintaining control accuracy.
Solution Approach 2:
The system dynamically changes the compensation parameters based on the type of error detected. When steady error factors are identified, persistent compensation parameters are applied. When instant error factors are detected, transient compensation parameters are used. This parameter adaptation ensures stable torque output by matching the compensation strategy to the error characteristics.
2Measurement precision
If conventional methods compensate for all errors uniformly, then model-plant differences are addressed, but the distinct characteristics of steady and instant factors are lost causing input value fluctuations
Solution Approach 1:
The determination unit segments the error analysis into steady and instant components by examining temporal characteristics and patterns of the error signal. This segmentation enables precise identification of error sources while maintaining stable input values through differentiated compensation strategies for each error type.
Solution Approach 2:
The system implements feedback mechanisms where the determination unit continuously monitors the error signal characteristics and adjusts the compensation approach accordingly. This feedback loop ensures that steady errors receive persistent correction while instant errors receive transient correction, maintaining both measurement precision and input stability.
Data Source
AI summary
A method for controlling driving of an electric vehicle includes calculating an error between a vehicle output value output from the electric vehicle which is traveling and a model output value output from a control model of the electric vehicle for controlling the electric vehicle, analyzing the calculated error and determining an error factor causing the error based on analyzed result values, generating a weight corresponding to the determined error factor and applying the weight to a parameter to obtain an estimated parameter, and reflecting the estimated parameter in the control model when a vehicle input value input to the electric vehicle satisfies a predetermined condition.