Dynamic Ultracapacitor Set-Point Control for Battery Heat Reduction
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Solution Overview
Problem
Current hybrid energy storage systems with ultracapacitors and batteries face inefficiencies in energy management, leading to waste heat, reduced battery life, and suboptimal performance across varying loads, as the ultracapacitor's state of charge is not dynamically regulated to match load demands.
Innovation Solution
Implementing a dynamic set-point control for the ultracapacitor's state of charge based on real-time fast Fourier transform analysis of load current, allowing for intelligent management of energy flow between the ultracapacitor and battery, minimizing waste heat and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If the ultracapacitor state of charge is not dynamically regulated, then the system structure is simple, but waste heat increases and battery life decreases
Solution Approach 1:
The patent implements dynamic set-point adjustment for the ultracapacitor state of charge based on real-time load current analysis. The set-point is not fixed but varies dynamically according to the instantaneous power demands and regenerative braking conditions, allowing the system to optimize energy distribution and minimize waste heat without requiring overly complex control mechanisms.
Solution Approach 2:
The system employs real-time feedback through fast Fourier transform analysis of load current to continuously monitor power demands. This feedback mechanism enables the control system to adjust the ultracapacitor state of charge set-point dynamically, ensuring optimal energy management that reduces waste heat while maintaining manageable system complexity through established control techniques.
2Duration of action of stationary object
If the ultracapacitor state of charge is not dynamically regulated, then the control system is simple, but battery life is reduced
Solution Approach 1:
The patent implements dynamic set-point adjustment for the ultracapacitor state of charge based on real-time load current analysis. The set-point is not fixed but varies dynamically according to the instantaneous power demands and regenerative braking conditions, allowing the system to optimize energy distribution and minimize waste heat without requiring overly complex control mechanisms.
Solution Approach 2:
The system employs real-time feedback through fast Fourier transform analysis of load current to continuously monitor power demands. This feedback mechanism enables the control system to adjust the ultracapacitor state of charge set-point dynamically, ensuring optimal energy management that reduces waste heat while maintaining manageable system complexity through established control techniques.
3Quantity of substance
If the ultracapacitor is fully charged or depleted at critical times, then energy storage capacity is maximized, but system performance deteriorates
Solution Approach 1:
The patent performs preliminary analysis of load current characteristics using fast Fourier transform to predict future power demands. By analyzing the frequency spectrum of load current, the system anticipates upcoming high-power events and proactively adjusts the ultracapacitor state of charge set-point accordingly, ensuring the ultracapacitor is in the optimal charge state before critical moments occur, thus maintaining both energy storage capacity and system reliability.
Solution Approach 2:
The system employs real-time feedback through fast Fourier transform analysis of load current to continuously monitor power demands. This feedback mechanism enables the control system to adjust the ultracapacitor state of charge set-point dynamically, ensuring optimal energy management that reduces waste heat while maintaining manageable system complexity through established control techniques.
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 reduces waste heat dissipation, optimizes energy storage, and extends battery life by ensuring the ultracapacitor is neither fully charged nor fully depleted at critical times, enhancing overall system performance and longevity.
Implementation Method 1
The battery 22 is an electrochemical device, storing and releasing energy through chemical reactions
Implementation Method 2
the combination of an ultracapacitor and a battery
Implementation Method 3
the automobile uses regenerative braking, in which the automobile is slowed down by converting kinetic energy through the drive train 25 to the motor-generator 24, into electrical energy
Data Source
AI summary
In an energy storage system that includes a battery and an ultracapacitor, the state of charge (SOC) of the capacitor is the subject of a dynamic set-point. This dynamic set-point control is a function of the load regime to which the storage system is exposed, for example a hybrid automobile or electric automobile. The control may be based in part upon real-time fast Fourier transform analysis of load current, permitting real-time adjustment of control coefficients. In this way, it is possible to minimize the occurrence of the capacitor being fully charged at a time when it would be desired to be able to absorb high current, for example from regenerative braking. Likewise it is possible to minimize the occurrence of the capacitor being nearly discharged at a time when it would be desirable to have boost power available. A result is that even a relatively small ultracapacitor (having perhaps one two-hundredth the energy storage capacity of the battery) can permit greatly reducing waste heat dissipated in the battery, and can reduce otherwise unnecessary cycling of current into and out of the battery. This can extend battery life and battery performance.