Battery Cassette Charging via Deficit Forecasting
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Solution Overview
Problem
Battery systems face challenges with high costs and performance degradation over time, and existing management techniques may not efficiently balance and extend battery life.
Innovation Solution
A method and system for intelligently managing battery cassettes by balancing state of charge, charging them in series, and coupling them to a load, using a controller to measure and adjust charging currents based on energy deficits, and utilizing secondary power sources like solar or wind energy, while bypassing rectifiers during failsafe modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If multiple battery cassettes are charged in series to extend battery life and balance performance, then battery longevity is improved, but charging time increases
Solution Approach 1:
The system performs preliminary balancing of battery cassettes before full charging begins. The controller measures states of charge and identifies energy deficits in advance, then pre-charges cassettes with higher deficits at reduced current to balance them before the main charging phase, preventing charging delays caused by imbalance.
Solution Approach 2:
The charging current is dynamically adjusted based on real-time measurements of battery cassette states. The controller modulates charging current between cassettes during the charging process, increasing current to cassettes with higher energy deficits and reducing current to cassettes approaching full charge, optimizing both balancing and charging speed.
2Stability of the object's composition
If battery cassettes are balanced by charging individual cassettes with higher energy deficits, then state of charge uniformity is improved, but charging efficiency decreases
Solution Approach 1:
The system applies different charging currents to different battery cassettes based on their individual states of charge. Each cassette receives a customized charging current tailored to its specific energy deficit, rather than applying a uniform current to all cassettes, achieving both balancing and efficiency.
Solution Approach 2:
The controller performs preliminary assessment of each battery cassette's state of charge and energy deficit before initiating charging. This preliminary action allows the system to plan and execute differentiated charging strategies that balance cassettes efficiently without excessive charging time.
3Reliability
If the system monitors and adjusts charging parameters for each battery cassette individually, then battery performance optimization is improved, but system complexity increases
Solution Approach 1:
The controller performs multiple functions using a single integrated system: it measures states of charge, calculates energy deficits, determines optimal charging currents, controls charging switches, and monitors balancing progress. This multi-functionality reduces the need for separate dedicated components for each function, managing complexity while maintaining performance optimization.
Solution Approach 2:
The system continuously monitors battery cassette states during charging and uses this feedback to dynamically adjust charging currents. The controller measures actual states of charge, compares them to target values, and modifies charging parameters in real-time to maintain optimal performance while adapting to changing battery 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 enhances battery performance and longevity by optimizing charging and balancing, reducing costs, and improving efficiency in managing battery systems.
Implementation Method 1
a first battery cassette (307A) and a second battery cassette (307B) of a plurality of battery cassettes (307)
Implementation Method 2
The secondary power source can include at least one of: a solar panel, a wind turbine, a geothermal generator, fuel cell or a combustion powered generator
Data Source
AI summary
Systems and methods provide intelligent battery charging and balancing. Energy deficits can be forecasted based on historical data and forecasted energy generation. The deficits can be used to determine charging currents over a period of time, and battery cassettes can be charged according to the charging currents to compensate for the forecasted energy deficit. The states of charge of the battery cassettes can be periodically rebalanced. The battery cassettes can be coupled in series and charged and balanced while providing output to a load.