Battery Storage Energy Management Phase Transition Optimization
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Solution Overview
Problem
Lithium-ion batteries face complex and time-consuming state of health assessments, particularly due to high temperatures and rapid temperature changes, leading to inaccurate aging predictions and overdimensioning of battery stores to avoid high-power charging and temperature fluctuations.
Innovation Solution
A method and system for operating a storage system with multiple battery units and an energy management unit that uses phase transition data, state of charge, and energy take-up/discharge data as optimization parameters to minimize phase transitions, thereby reducing battery aging and allowing for more accurate dimensioning and longer service life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If battery stores are dimensioned larger to avoid high-power charging and temperature fluctuations, then reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the operational parameters of battery cells by identifying and avoiding critical states (phase transitions in the state of charge) that cause rapid aging. By monitoring state of charge and preventing operation in critical ranges, the system extends battery life without requiring oversized dimensioning, thus resolving the contradiction between reliability and device complexity.
2Reliability
If state of health assessment is performed with high accuracy, then reliability is improved, but measurement precision requirements and time consumption increase
Solution Approach 1:
The patent performs preliminary identification of critical states (phase transition points) during battery manufacturing or initial characterization. These pre-identified critical states are then used during operation to quickly assess battery health without requiring time-consuming real-time analysis, thus improving reliability assessment speed.
Solution Approach 2:
The patent replaces complex physical measurements and assessments with a computational approach based on state of charge monitoring and comparison against pre-stored critical state data. This substitution of mechanical/physical assessment methods with information-processing methods reduces time consumption while maintaining accuracy.
3Duration of action of moving object
If battery stores are operated to avoid phase transitions, then duration of action is extended, but productivity decreases due to restricted operating range
Solution Approach 1:
The patent implements dynamic adjustment of the state of charge operating range based on battery temperature, age, and usage conditions. By adaptively modifying the critical state boundaries rather than using fixed limits, the system extends service life while maintaining maximum possible productivity at different operating conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables more accurate assessment and minimization of battery aging, reducing maintenance costs and extending the service life of lithium-ion batteries by optimizing energy distribution among battery units based on phase transition data and state of charge, thus avoiding critical phase transitions.
Implementation Method 1
providing phase transition data of the battery cells and transmitting said data to the energy management unit (3)... the phase transition data, the state of charge and the amount of energy take-up and/or the amount of energy discharge are incorporated as optimization parameters of the optimization problem
Data Source
AI summary
Various embodiments include a method for operating a storage system with two battery storage units, each with two battery cells and a battery management system, and an energy management unit with a processor unit. The method may include: providing phase transition data of the cells and transmitting said data to the EMU; the battery management systems providing states of charge; querying an amount of energy take-up to be provided and/or an amount of energy discharge to be provided; ascertaining a distribution result among the battery storage units based on an optimization problem solved by optimizing a target function, and wherein the phase transition data, the state of charge, the amount of energy take-up, and/or the amount of energy discharge are incorporated as optimization parameters; and charging or discharging the battery storage units in accordance with the distribution result.


