Energy Storage Charge Control for Cost-Aware Utilization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems fail to optimize the state-of-charge of energy storage devices (ESDs) in vehicles based on cost and environmental factors, leading to inefficient energy utilization and utilization enhancements.
Innovation Solution
A method and system that determine the state-of-charge of ESDs, such as batteries, based on cost and environmental conditions, and modify their state to enhance energy utilization by integrating AI models and blockchain technology for efficient energy distribution and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the state-of-charge of ESDs is optimized based on cost and environmental factors, then energy utilization enhancement is improved, but system complexity increases due to integration of AI models and blockchain technology
Solution Approach 1:
The system is divided into distinct functional modules: AI model component for prediction, blockchain component for secure data management, energy management component for optimization, and communication component for data exchange. Each module performs a specific function and can be independently developed, deployed, and maintained, reducing overall system complexity while enabling energy utilization enhancement.
2Use of energy by moving object
If AI models and blockchain technology are integrated for efficient energy distribution, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The patent introduces intermediary components including a communication interface that mediates between the AI model, blockchain system, and energy management functions, and a data management layer that handles secure storage and retrieval of energy data. These intermediaries simplify the integration of complex AI and blockchain technologies by providing standardized interfaces and abstraction layers.
3Productivity
If energy distribution is optimized using multiple data sources, then energy utilization is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The blockchain data structure is designed to universally accommodate multiple data sources including energy consumption data, cost data, environmental data, and prediction data in a standardized format. This multi-functional data structure simplifies the detection and measurement processes by providing a unified interface for accessing diverse energy-related information.
Data Source
AI summary
An example operation includes at least one of determining a state-of-charge of at least one of a plurality of energy storage devices (ESDs) at a location based on one or more of a cost factor or an environmental condition, determining an energy usage at the location to achieve an energy utilization enhancement above a threshold based on the state-of-charge of the at least one of the plurality of ESDs, wherein the plurality of ESDs comprise one or more of an energy storage unit (ESU) or an electric vehicle (EV) battery, and modifying the state-of-charge of the at least one of the plurality of ESDs at the location based on the determining the energy usage.