Worksite Dynamic Charging for Multi-Machine Grid Load Balancing
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Solution Overview
Problem
The introduction of electrified machines at worksites leads to compatibility issues, increased energy demand, scheduling challenges, and higher infrastructure costs due to varying charging requirements, reducing productivity and extending project timelines.
Innovation Solution
A method and system for worksite dynamic charging that includes receiving load metrics from the power grid, identifying charging rates for each machine, and controlling chargers based on these metrics to optimize energy use and infrastructure efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple electrified machines are introduced at worksites to improve productivity, then machine availability and output increase, but compatibility issues and scheduling challenges arise due to varying charging requirements
Solution Approach 1:
The patent implements a universal charging system where a single charger can serve multiple machines with different battery voltages and charging requirements. The charger dynamically adapts its output parameters to match the specific needs of each connected machine, eliminating the need for multiple specialized chargers and resolving compatibility issues while maintaining high machine availability.
Solution Approach 2:
The charging system dynamically adjusts its operating parameters based on real-time conditions, including machine battery state, power grid availability, and charging priority. This dynamic control enables the system to handle varying charging requirements of different machines without manual intervention, improving both productivity and adaptability.
2Reliability
If multiple dedicated chargers are deployed to meet different charging requirements, then machine charging needs are satisfied, but infrastructure cost and device complexity increase
Solution Approach 1:
The patent describes a multi-functional charger capable of serving multiple machine types with different voltage requirements (e.g., 24V, 48V, 80V batteries) through a single device. This universal charger reduces infrastructure complexity by replacing multiple dedicated chargers while maintaining reliable charging for all machine types through adaptive control.
Solution Approach 2:
The patent combines multiple charging functions into a single integrated system that can handle different battery voltages, charging rates, and machine types simultaneously. This merging of functions reduces the total number of chargers needed and simplifies the overall charging infrastructure while ensuring all charging requirements are met.
3Quantity of substance
If charging infrastructure is expanded to accommodate all machines, then charging capacity increases, but energy demand and maintenance cost increase
Solution Approach 1:
The charging system dynamically manages power distribution based on real-time grid conditions and machine priorities. When grid power is limited, the system intelligently allocates charging capacity to high-priority machines and delays or reduces charging for lower-priority machines, maintaining adequate charging capacity without continuously operating at maximum energy demand.
Solution Approach 2:
The system implements partial charging strategies where machines receive just enough charge to meet their operational needs rather than always charging to full capacity. This approach maintains sufficient charging capacity for productivity while reducing overall energy consumption and infrastructure strain.
Data Source
AI summary
At least one aspect of the present disclosure is directed to a system, method, or a computer-readable medium of the following. A method can include one or more processors receiving information indicative of load metrics relating to a power grid. The method can include the one or more processors identifying metrics for a plurality of charging machines to be charged at the worksite. The method can include the one or more processors determining a charging rate for a charging machine at the worksite, for each charging machine of the plurality of charging machines, according to the metrics and load metrics of the power grid. The method can include the one or more processors controlling a plurality of chargers at the worksite, according to the charging rate associated with a corresponding charging machine.


