Battery Inverter Switching for Low-Loss Variable Load Operation

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Solution Overview

Problem

Energy storage systems face inefficiencies due to heat production in battery inverters, which leads to energy loss, and managing multiple energy storage units and inverters to meet varying power requirements while balancing state of charge is challenging.

Innovation Solution

A system that groups energy storage units with inverters into sets, operating them in parallel and switching between groups to maximize efficiency, using a round-robin technique or switched battery method to optimize power usage and balance charge states.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Power

If multiple battery inverters are operated simultaneously to meet varying power requirements, then power delivery capability is improved, but no-load energy losses increase

Engineering Contradiction:
Improvepower delivery capabilityVSAvoidno-load energy losses
Core Design Contradiction:
PowerVSLoss of energy

Solution Approach 1:

The system dynamically switches between different inverters based on real-time power requirements. The controller monitors the instantaneous power demand and activates only the necessary number of inverters, transitioning the system from a static to a dynamic configuration that adapts to changing load conditions.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The controller periodically evaluates power requirements and switches between inverter configurations at scheduled intervals or triggered by threshold crossings. This periodic assessment ensures that inverters are activated or deactivated at appropriate moments to match varying power demands while minimizing idle operation.

Inventive Principle:
Principle #19Periodic action

2Reliability

If energy storage units are distributed across multiple inverters, then system reliability is improved, but managing charge balance becomes more complex

Engineering Contradiction:
Improvesystem reliabilityVSAvoidcharge balance management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The controller continuously monitors the state of charge of each energy storage unit and uses this feedback information to make intelligent switching decisions. By incorporating real-time charge level data into the inverter selection logic, the system automatically balances charge distribution across units while maintaining reliability through redundant configurations.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system employs self-balancing mechanisms where the switching logic automatically adjusts inverter assignments based on observed charge states. Energy storage units that are more charged are naturally assigned to fewer inverters or placed in standby, while units needing charge receive more inverter support, creating a self-regulating charge balance without external intervention.

Inventive Principle:
Principle #25Self-service

3Adaptability or versatility

If battery inverters operate at partial load, then adaptability to varying power requirements is improved, but efficiency decreases due to heat production

Engineering Contradiction:
Improveadaptability to varying power requirementsVSAvoidenergy loss due to heat
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The system segments the total power delivery function across multiple inverters, allowing the active subset to operate at or near full capacity. By dividing the load among several inverters and switching between them, the system maintains high efficiency operation of individual units while collectively providing adaptable power output to match varying demands.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The controller changes operational parameters by switching between different inverter configurations based on power demand levels. At high power requirements, more inverters are activated; at lower requirements, fewer inverters operate at higher utilization, maintaining efficiency. This parameter adjustment optimizes the trade-off between adaptability and efficiency.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11811233B1Systems and methods for optimized loading of battery inverters
Publication Date: 2023.11.07 8ME NOVA LLC
  • US11811233B1 patent drawing
  • US11811233B1 patent drawing
  • US11811233B1 patent drawing

AI summary

The present disclosure provides systems and methods for optimizing loading of battery inverters. A system may include a plurality of inverters configured to output power to a load; a switching system connected to the plurality of inverters; a plurality of energy storage units selectively coupled to the plurality of energy storage units by the switching system; and a controller. The controller can be configured to determine a required power for the load; determine a number of the plurality of inverters to provide the required power; determine a switching position for the switching system based on the determined number of the plurality of inverters, the switching position corresponding to power delivery by a set of the plurality of inverters; and send a control signal to the switching system to connect one or more of the plurality of energy storage units with the set of the plurality of inverters.