Battery Usage Control via DC-DC Actuation to Cut Power Dissipation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated control systems for battery systems face challenges in managing uncertainty and optimizing operations due to unknown internal states and changing conditions, leading to inefficiencies in power dissipation and battery life.
Innovation Solution
The implementation of a control state manager component that repeatedly modifies the control system's operations using feedback from ongoing battery usage, adjusting actuator states to reduce power dissipation and approach an idealized battery performance, through a data Hamiltonian model that encodes system dynamics and uses sensor data to determine control actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated control systems manage battery operations with unknown internal states and changing conditions, then the system can operate without complete information, but power dissipation increases and battery life is reduced
Solution Approach 1:
The patent implements a feedback mechanism where the control system continuously monitors battery performance and uses this information to adjust control actions. The system observes the effects of previous control actions on battery state and modifies future actions to reduce power dissipation, creating a closed-loop control that adapts to unknown internal states while minimizing energy loss.
Solution Approach 2:
The control system dynamically changes operational parameters such as discharge rate, voltage thresholds, and current limits based on observed battery performance. By adjusting these parameters in response to changing conditions and unknown internal states, the system optimizes power dissipation and extends battery life without requiring complete knowledge of the battery's internal condition.
2Duration of action of stationary object
If the control system repeatedly modifies operations to reduce power dissipation, then battery life is extended, but system complexity increases
Solution Approach 1:
The control system employs dynamic adjustment of control parameters based on real-time battery performance observations. Rather than using a fixed complex control algorithm, the system adapts its control strategy dynamically, simplifying the control architecture while achieving extended battery life through repeated modifications to operational parameters based on observed outcomes.
3Productivity
If the control system dynamically adapts to changes in battery performance and internal conditions, then efficiency is enhanced, but measurement and detection difficulty increases
Solution Approach 1:
The control system uses the battery's own operational data and performance characteristics to make adaptation decisions. By leveraging observable external parameters such as voltage, current, and temperature that the battery system naturally provides, the control system enhances efficiency without requiring complex or invasive measurement of internal states, allowing the system to self-adjust based on readily available information.
Data Source
AI summary
Techniques are described for implementing automated control systems that repeatedly perform automated modifications to control system actuator components' ongoing operations to improve functionality for target battery systems, such as to reduce power dissipation while performing other battery power use activities to maximize battery life. Controlling a battery's usage may include using a DC-to-DC amplifier, and the repeated automated modifications may include modifying the state of the DC-to-DC amplifier actuator to adjust a level of resistance and/or an amount of time during which power is supplied. The repeated automated modifications may be performed to repeatedly reduce the distance between the current battery performance and an idealized version of the battery performance (e.g., a version with no power dissipation).