Vehicle Charging Rule Interface for Drag-and-Drop Energy Planning
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Solution Overview
Problem
Existing energy storage management systems for electric and hybrid vehicles are difficult for inexperienced users to navigate, limiting their ability to create complex and personalized charging rules.
Innovation Solution
A graphical user interface with drag-and-drop functionality allows users to easily create and compile planning rules using graphic icons representing planning parameters and operators, enabling intuitive and complex rule creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional complex planning rule interfaces are used, then comprehensive charging control capability is achieved, but user operation difficulty increases significantly
Solution Approach 1:
The planning rule interface is segmented into distinct functional blocks: condition blocks (IF statements) and action blocks (THEN statements). Each block represents a discrete logical unit that users can independently configure. This segmentation allows users to build complex charging rules through simple, modular components rather than facing a monolithic complex interface.
Solution Approach 2:
The patent introduces an intermediary processing layer that automatically generates and validates the logical structure of planning rules. This intermediary translates user-friendly block selections into formal planning rule syntax, mediating between simple user input and complex system requirements. The intermediary handles the complexity internally while presenting a simplified interface to users.
2Adaptability or versatility
If more planning parameters and operators are provided, then rule complexity and personalization increase, but interface complexity and confusion increase
Solution Approach 1:
Planning parameters are segmented into specific categories (time parameters, charge parameters, temperature parameters, location parameters) with dedicated input fields for each category. This organized segmentation allows comprehensive parameter coverage while maintaining interface clarity through systematic grouping and labeling.
Solution Approach 2:
Different sections of the interface provide different levels of detail and control appropriate to each functional area. Condition blocks and action blocks have specialized parameter sets tailored to their specific purposes, allowing users to access detailed customization where needed while keeping unrelated sections simple and focused.
3Ease of operation
If drag and drop method is implemented, then user-friendly rule creation is achieved, but system implementation complexity increases
Solution Approach 1:
The drag and drop interface implements self-service functionality where the system automatically performs tasks that would otherwise require complex programming. When users drag condition blocks and action blocks together, the system automatically generates the corresponding planning rule logic, validates the rule structure, and configures the charging parameters without requiring manual code input or complex system intervention.
4Reliability
If automatic validation checks are added, then rule correctness is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs validation checks preliminarily during the rule creation process rather than waiting until rule execution. Admissibility checks verify parameter ranges and logical consistency, while plausibility checks assess whether the planning rule makes practical sense for charging operations. This preliminary validation prevents incorrect rules from being deployed, saving time in the long run by avoiding charging errors.
Data Source
AI summary
An energy storage management system (1) for an at least partially electrically driven vehicle. A control device (2) is used to operate an energy storage device (3) for the vehicle as a function of stored planning rules (4). An interface device (5) with at least one graphical user interface (15) is used to create the planning rules (4) in a user-defined manner. The planning rules (4) include planning parameters (14) configurable by the user interface (15). The planning rules (4) include planning operators (24). The interface device (5) is suitable and designed for supporting a selection and a compilation of the planning parameters (14) and the planning operators (24) to create one or more planning rules (4) using a drag and drop method by the user interface (15).
