Decentralized Battery Charging Coordination via Periodic Staggering
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Solution Overview
Problem
The increasing demand for charging electric vehicle batteries strains the power grid, particularly during peak hours, leading to suboptimal power delivery due to the lack of infrastructure support for coordinated charging solutions.
Innovation Solution
A battery charging system with a monitoring unit that acquires control values based on predetermined parameters, such as battery charge level and power source voltage, to determine optimal charging times and currents, allowing for decentralized and coordinated charging management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple electric vehicles are recharged simultaneously during peak hours, then the charging demand is met, but the power grid becomes overloaded and power delivery becomes suboptimal
Solution Approach 1:
The system implements periodic charging by introducing random time delays before charging commences. The monitoring unit acquires control values and determines optimal charging times by staggering charging start times across multiple vehicles, transforming continuous simultaneous charging into periodic distributed charging that avoids peak grid overload while maintaining overall charging productivity
Solution Approach 2:
The system dynamically adjusts charging parameters based on real-time grid conditions. The monitoring unit continuously monitors control values and modifies charging timing and current delivery accordingly, enabling the charging system to adapt to varying grid capacity and demand conditions, thereby maintaining reliable power delivery while meeting charging needs
2Reliability
If a central hub coordinates charging to optimize power delivery, then power grid management is improved, but infrastructure complexity and implementation cost increase significantly
Solution Approach 1:
The system enables self-service distributed coordination where individual battery charger units autonomously monitor local control values and independently determine optimal charging times. Each charger unit communicates with others to share status information, allowing the network to self-organize and coordinate charging without requiring a central hub, thereby reducing infrastructure complexity while maintaining reliable power grid management
Solution Approach 2:
The system segments the centralized control function into distributed autonomous charger units. Instead of one central hub managing all charging, multiple independent charger units each perform local monitoring and decision-making, dividing the coordination task across the network. This segmentation reduces single-point failure risks and infrastructure complexity while achieving system-wide optimization
Data Source
AI summary
An apparatus, system, and method for charging batteries is provided. The apparatus comprises a monitoring unit configured for coupling to a battery and power source. The monitoring unit configured to acquire a control value indicative of a parameter, and to control the charging of the battery responsive thereto. The system comprises a plurality of battery chargers configured for coupling with respective batteries and a common power source. Each charger configured to obtain information relating to a parameter, to communicate the information to the other chargers, to acquire a control value from the information obtained thereby or received from another charger, and to control the charging of the associated battery based on the acquired control value. The method comprises providing a monitoring unit coupled to a battery and power source, acquiring a control value indicative of a parameter, and controlling the charging of the battery responsive to the control value.