Battery Energy Management with Adaptive SOC and Voltage Rebalancing
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Solution Overview
Problem
Current energy management systems for storage systems, particularly batteries, lack accurate control strategies to monitor and maintain optimal performance and extend the life of batteries, leading to inefficient operation and reduced state of health.
Innovation Solution
An electrical energy management method and software that monitors the state of charge and voltage balance of storage systems, adjusting the minimum and maximum state of charge values based on predefined parameters and recalculating them according to energy feed-in and capacity, with a rebalancing step to maintain optimal cell voltage equality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional energy management systems are used for storage systems, then basic monitoring and control functions are provided, but accurate control strategies to maintain optimal performance and extend battery life are lacking
Solution Approach 1:
The system dynamically adjusts state of charge parameters (SOC_MIN, SOC_MAX) based on battery age, temperature, and usage patterns. The control strategy modifies operational parameters in real-time to optimize battery life while maintaining performance, directly addressing the contradiction between reliability and complexity through adaptive parameter management
Solution Approach 2:
The energy management system implements continuous feedback loops that monitor battery state of charge, voltage, current, and temperature. This feedback enables the system to automatically adjust control strategies and prevent harmful operating conditions, improving battery reliability through closed-loop control without requiring overly complex external management
2Measurement precision
If battery charging and discharging cycles are monitored continuously, then battery operation correctness is verified, but system complexity and data processing requirements increase
Solution Approach 1:
The system applies partial monitoring by focusing measurements on critical thresholds and key parameters rather than continuously tracking all possible variables. By monitoring only the most significant state of charge levels and voltage ranges, the system achieves sufficient measurement precision without requiring excessively complex monitoring infrastructure
Solution Approach 2:
The monitoring system divides battery operation into discrete state segments (charging, discharging, resting) and applies specific measurement and control strategies to each segment. This segmentation allows for simplified monitoring within each state while maintaining overall measurement precision across the complete operating cycle
3Productivity
If state of charge values are adjusted dynamically, then storage system operation is optimized, but control algorithm complexity increases
Solution Approach 1:
The energy management system performs self-adjustment of state of charge parameters based on pre-programmed rules and real-time sensor data. The control algorithm automatically optimizes charging and discharging parameters without requiring complex external intervention or manual tuning, improving productivity while keeping the control software architecture relatively simple through autonomous operation
Data Source
AI summary
An electrical energy management method for storage systems connectable to the electrical grid, comprising a first verification cycle for verifying the state of charge of a storage system, comprisingmeasuring the maximum state of charge in a predefined moment in time;verifying whether the measured maximum state of charge (SOCril) is greater or less than a predefined value of the maximum state of charge (SOC_MAX);if the measured maximum state of charge (SOCril) is less than said predefined value of the maximum state of charge (SOC_MAX), verifying for how long it has been less;if it has been less for a period of time exceeding a predefined time interval, modifying a usage value of the minimum state of charge (SOC_MIN) of the storage system.