Smart Charging System for Electric Vehicles with Guaranteed Schedules
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Solution Overview
Problem
Current power flow management systems for electric vehicles lack flexibility and control, leading to inefficiencies and increased costs, as they rely on simple timer-based charging that cannot adapt to unpredictable operational demands.
Innovation Solution
A smart charging system that uses a centralized server to manage electric resources, providing guaranteed charging schedules, benefits analysis, and overrides, allowing for flexible power flow management and coordination of multiple vehicles, while also considering uncontrolled loads and prices-to-devices enabled devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple timer-based charging systems are used, then device complexity is reduced, but adaptability to unpredictable operational demands deteriorates
Solution Approach 1:
The charging system performs self-service by automatically adjusting charging schedules based on real-time data from sensors and grid conditions without requiring complex manual intervention. The system monitors battery state, predicts operational needs, and autonomously optimizes charging timing and rate, resolving the contradiction by achieving adaptability through automated self-adjustment rather than complex human-managed systems.
Solution Approach 2:
The system implements feedback mechanisms where charging behavior is continuously monitored and adjusted based on actual operational patterns, battery state of charge, and grid conditions. This closed-loop control enables the system to adapt to unpredictable demands while maintaining manageable complexity through algorithmic decision-making rather than complex hardware architectures.
2Adaptability or versatility
If centralized smart charging management is implemented, then adaptability to operational demands is improved, but device complexity increases
Solution Approach 1:
The centralized server implements multi-functionality by handling diverse charging management tasks including schedule optimization, benefit analysis, guarantee verification, and coordination with multiple vehicles and uncontrolled loads through a single platform. This universal approach achieves high adaptability without proportionally increasing complexity by consolidating functions rather than creating separate specialized systems.
Solution Approach 2:
The centralized server acts as an intermediary between the grid, multiple electric vehicles, and uncontrolled loads, mediating power flow management and charging coordination. This intermediary architecture simplifies the overall system by centralizing decision-making logic and reducing the complexity burden on individual vehicle systems while maintaining high adaptability through server-side optimization.
3Loss of energy
If dynamic charging pattern adjustment is performed, then energy efficiency is improved, but loss of information about charging guarantees increases
Solution Approach 1:
The system uses feedback mechanisms to continuously monitor and verify that dynamic charging adjustments maintain compliance with established charging guarantees. Real-time tracking of state of charge, charging rate, and schedule adherence ensures that energy optimization does not compromise guarantee fulfillment, resolving the information loss through continuous verification loops.
Solution Approach 2:
The system performs preliminary actions by pre-calculating and establishing charging guarantees and schedules before dynamic adjustment begins. These pre-defined constraints and targets are stored and referenced during real-time optimization, ensuring that energy efficiency improvements do not violate previously committed charging requirements, thus preventing information loss about guarantees.
Data Source
AI summary
A system and methods that enables smart charging for electric resources. A charging behavior guarantee may comprise a guaranteed charging schedule that matches a regular charging schedule of an electric resource and provides power flow flexibility. A smart charging method may also include periodically updated schedules and may manage electric resources via a smart charging benefit analysis. A smart charging method may manage the charging behavior of the electric resources on a grid based on the smart charging benefit. Further, a smart charging method may manage electric resources via a smart charging benefit analysis and smart charging customer guarantees. A smart charging method also may include schedules with overrides, and may involve a method for local load management in the presence of uncontrolled loads. A smart charging method for managing electric resources may also provide direct control over prices-to-devices enabled devices.