EV Charging Notification Service for Optimizing Energy Consumption
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current electric vehicle charging infrastructure is rudimentary and lacks the complexity to manage various charging scenarios, requiring a more comprehensive system to accommodate diverse transactions, including remote charging, payment, and incentives.
Innovation Solution
A computer-implemented method and apparatus that generates notifications with optimization recommendations based on historical user data and remote sources, presenting information and incentives to users through a notification service, managing all phases of electric vehicle charging transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a rudimentary charging infrastructure is used, then device complexity is reduced, but adaptability and versatility are insufficient to manage various charging scenarios
Solution Approach 1:
The patent introduces a notification service as an intermediary layer between the charging infrastructure and users. This service receives charging process data, generates optimized notifications with recommendations, and delivers them to users through their preferred communication channels. The intermediary handles the complexity of data processing and optimization algorithms centrally, allowing the underlying infrastructure to remain relatively simple while providing sophisticated charging scenario management.
Solution Approach 2:
The system implements feedback by continuously monitoring charging process data and using optimization algorithms to generate recommendations. The notification service analyzes historical user data and real-time charging information, then provides feedback to users in the form of actionable recommendations. This feedback loop enables the system to adapt to various charging scenarios dynamically without requiring complex infrastructure changes at each charging point.
2Productivity
If comprehensive charging transaction management is implemented, then productivity and efficiency are improved, but device complexity increases
Solution Approach 1:
The patent extracts the complex data processing and optimization logic from the charging infrastructure itself and places it in a centralized notification service. The infrastructure only needs to collect and transmit basic charging process data, while the notification service handles the sophisticated analysis, optimization algorithm execution, and recommendation generation. This extraction allows efficient charging transaction management without increasing infrastructure complexity.
Solution Approach 2:
The system enables self-service by providing users with automated notifications and recommendations that help them make optimal charging decisions independently. The notification service autonomously processes charging data, applies optimization algorithms, and delivers personalized recommendations without requiring users to manually analyze complex data or interact with complicated system interfaces. This self-service approach improves productivity while keeping the user-facing system simple.
3Measurement precision
If real-time charging data processing is performed, then measurement precision and optimization accuracy are improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by pre-processing and storing historical user data in advance. The notification service maintains a database of historical charging patterns, user preferences, and optimization parameters. When real-time charging data arrives, the system can quickly query pre-processed historical data and apply optimization algorithms without having to gather and analyze all data from scratch. This preliminary preparation maintains measurement precision while significantly reducing the time required to generate notifications.
Data Source
AI summary
A computer implemented method, apparatus, and computer usable program code for managing electric vehicle charging information. In one embodiment, the process receives charging process data. The charging process data may be stored in a data repository and associated with a user to form historical user data. The process then generates a notification in response to detecting a condition for triggering the generation of the notification. The notification comprises a set of recommendations for achieving a set of optimization objectives. In addition, the set of recommendations are derived from at least one of the historical user data and a remote data source. Thereafter, the process presents the notification to a user using a set of notification preferences.