Electric Mobility Control Using Scenario-Based Drive Strategies
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Solution Overview
Problem
Existing electric mobile devices lack consideration for diverse scenarios, leading to inadequate user experience and safety performance, particularly in varying road conditions such as slopes and curves.
Innovation Solution
A control device for electric mobile devices that includes a measurement unit and processor to acquire operational data, determine operation conditions, and generate targeted control strategies to enhance safety and user experience by adjusting drive component output quantities based on reference data and preset rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single control strategy is used for all operation conditions, then the control system is simple, but the safety performance and user experience deteriorate due to lack of scenario-specific optimization
Solution Approach 1:
The patent segments the operation conditions into multiple distinct scenarios (braking condition, coasting condition, overspeed condition, free deceleration condition, normal driving condition) and assigns specific control strategies to each segment. This allows the system to optimize safety performance for each scenario while maintaining manageable overall system complexity through structured classification.
Solution Approach 2:
The control system dynamically adapts its strategy based on the detected operation condition. The processor determines the current operation condition in real-time and switches between different control strategies (energy recovery mode, reference data mode, preset rule mode) accordingly, making the system flexible and scenario-optimized without requiring a completely complex restructured architecture.
2Ease of operation
If scenario-specific control strategies are implemented, then safety performance and user experience improve, but the control system complexity increases
Solution Approach 1:
The patent implements preliminary classification of operation conditions into five distinct categories with predefined control strategies. By preparing and storing reference data and preset rules for each condition type in advance, the system can quickly respond to various scenarios without requiring complex real-time decision-making algorithms, thus improving user experience while controlling system complexity.
3Measurement precision
If operation condition estimation is performed based on multiple operational parameters, then control accuracy improves, but the measurement and processing complexity increases
Solution Approach 1:
The patent uses a unified operation condition estimation mechanism that handles multiple operational parameters (speed, acceleration, torque, brake status) through a single standardized process. The processor evaluates multiple parameters simultaneously using the same estimation framework, achieving high detection accuracy across all condition types without requiring separate measurement systems for each parameter, thus controlling the complexity of data acquisition.
Data Source
AI summary
Disclosed herein is a control device for an electric mobile device. The control device includes a measurement unit and a processor, the measurement unit being electrically connected to the processor. The processor is configured to: acquire operational data of the electric mobile device via the measurement unit; determine an operation condition estimation of the electric mobile device based on the operational data; determine a target control strategy corresponding to the operation condition estimation; and control the electric mobile device to perform a corresponding operation according to the target control strategy. By determining the operation condition estimation based on the operational data of the electric mobile device, and determining the target control strategy based on the operation condition estimation, the control effect of the operation of the electric mobile device is more targeted, the control effect and the operation condition estimation of the matching of the improvement.