Natural Language Parameter Extraction for Energy Storage Management

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Solution Overview

Problem

Current parameter extraction methods for energy storage management systems face issues of complex operations, poor universality, lack of extensibility, and poor robustness, leading to inefficiencies and instability in managing and controlling energy storage systems.

Innovation Solution

A parameter extraction method based on natural language interaction, involving parameter division, manual labeling, and machine learning fuzzy processing techniques, reduces operation complexity, enhances universality through standard coding, and improves accuracy and extensibility.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If conventional parameter extraction method is used, then parameter extraction can be performed, but operation complexity increases and threshold of use increases

Engineering Contradiction:

Improveoperation complexityVSAvoidparameter extraction method complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces the conventional mechanical parameter extraction interface (requiring manual selection from parameter lists) with a natural language processing system. The system uses machine learning models to automatically extract parameters from user input text, eliminating the need for users to navigate complex parameter interfaces and reducing operational complexity while maintaining extraction functionality

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces a natural language processing intermediary layer between the user and the parameter extraction system. This intermediary automatically interprets user intent from natural language input and maps it to the required parameters, serving as a mediator that simplifies user interaction while handling the complexity of parameter mapping internally

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If conventional parameter selection is used, then parameter extraction can be performed, but universality among management functions decreases

Engineering Contradiction:

Improveuniversality among management functionsVSAvoidparameter structure

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal parameter extraction framework that handles multiple management functions (operation, maintenance, monitoring, etc.) through a single natural language processing system. The system uses a unified parameter dictionary and extraction algorithm that adapts to different function types, enabling one system to serve multiple purposes without requiring separate parameter selection interfaces for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Adaptability or versatility

If conventional parameter extraction method is used, then existing functions can be managed, but extensibility for new functions decreases

Engineering Contradiction:

ImproveextensibilityVSAvoidparameter structure redesign

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a dynamic parameter extraction system where the parameter dictionary and extraction rules can be easily extended for new functions. The system allows addition of new parameter types and extraction patterns without requiring fundamental redesign of the underlying architecture, enabling flexible adaptation to emerging management functions while maintaining stability of existing operations

Inventive Principle:

Principle #15Dynamics

4Reliability

If conventional parameter extraction method is used, then parameter extraction can be performed, but robustness in handling abnormal situations decreases

Engineering Contradiction:

Improvesystem robustnessVSAvoidhandling input errors

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The patent incorporates error handling and validation mechanisms that are built into the natural language processing system before parameter extraction occurs. The system includes predefined exception handling for common input errors, validation rules for parameter values, and fallback mechanisms that prevent system failures when abnormal inputs are detected, thereby enhancing robustness without complicating user interaction

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

Data Source

PatentUS20260111405A1Parameter extraction method for energy storage management system based on natural language interaction

Publication Date: 2026.04.23 LBATTERYCLOUD CO LTD

AI summary

The present disclosure discloses a parameter extraction method for an energy storage management system based on natural language interaction, and belongs to the technical field of energy storage for new energy power systems, comprising: dividing parameter types, collecting natural language interaction corpora, labeling parameters, constructing a word segmentation set, coding natural language interaction corpora, calculating prior probabilities and conditional probabilities, persisting the prior probabilities and the conditional probabilities, inputting new corpora, loading the prior probabilities and the conditional probabilities, calculating posterior probabilities according to a naive Bayes formula, and extracting parameters corresponding to a maximum value of the posterior probabilities. According to the present disclosure, parameters are extracted using a natural language interaction manner, which reduces a threshold of use of conventional energy storage management systems.