Lead-Acid Battery Desulfation via Variable PWM Signals

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Solution Overview

Problem

Existing technologies fail to optimize Lead-Acid battery performance by not utilizing variable Pulse Width Modulated (PWM) signals effectively to address sulfation issues, which affect battery life and efficiency, and lack real-time measurement and control capabilities for battery metrics.

Innovation Solution

A Category Specific Device using analogue or digital electronic circuitry with a computer processor and software to generate and control PWM signals, applying variable frequency and amplitude to Lead-Acid batteries, thereby ionizing sulfate molecules and optimizing battery performance through desulfation and charging processes, with AI-driven diagnostics and prognostication.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If high frequency-low current output signal is used in prior art PWM methodologies, then energy consumption is reduced, but battery restoration effectiveness deteriorates due to insufficient current to address sulfation issues

Engineering Contradiction:
Improveenergy consumptionVSAvoidbattery restoration effectiveness
Core Design Contradiction:
Use of energy by moving objectVSReliability

Solution Approach 1:

The patent employs periodic pulsed current delivery with variable duty cycles, switching between high-frequency low-current modes for energy efficiency and high-current modes for effective sulfation removal. The controller alternates between different pulse frequencies and current levels to balance energy consumption with restoration effectiveness.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system dynamically adjusts PWM signal parameters including frequency, duty cycle, and peak current based on real-time battery condition monitoring. The controller modifies the pulse waveform characteristics to optimize the balance between energy efficiency and sulfation removal effectiveness throughout the restoration process.

Inventive Principle:
Principle #15Dynamics

2Reliability

If variable PWM signals with high current are applied to optimize battery performance, then sulfation removal effectiveness improves, but device complexity increases due to advanced control requirements

Engineering Contradiction:
Improvesulfation removal effectivenessVSAvoidcontrol system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system incorporates real-time monitoring of battery parameters such as voltage, current, and temperature, with the controller using this feedback to automatically adjust PWM signal parameters. This closed-loop control simplifies the operation by eliminating manual intervention while maintaining optimal restoration effectiveness.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The controller autonomously manages the complex task of varying PWM parameters based on battery condition assessment. The system performs self-adjustment of pulse frequency, duty cycle, and current levels without requiring external control, thereby reducing operational complexity while maintaining high restoration effectiveness.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If real-time monitoring and AI diagnostics are implemented, then battery life prognostication accuracy improves, but manufacturing cost increases

Engineering Contradiction:
Improvebattery health monitoring accuracyVSAvoidmanufacturing cost
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The monitoring system is designed to serve multiple functions: real-time battery parameter measurement, sulfation detection, state of charge estimation, and life prognostication. By consolidating these functions into a single integrated system, the patent reduces overall system cost while maintaining high measurement precision and diagnostic accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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

The device enhances battery performance by reducing sulfation, extending battery life, and optimizing charging efficiency, allowing for real-time monitoring and prediction of battery health and remaining life, thereby improving overall battery operation and reducing maintenance costs.

Implementation Method 1

The PWM signal Peak Amplitude is controlled in a manner, increasing or decreasing in real time, creating a signal amplitude of a frequency and peak current providing a desirous frequency and amplitude to the battery, corresponding to a pre-determined target value considering the effect of the battery's internal resistance, which maximizes the ionic affect upon the sulfate molecule. This ionization process applied to the sulfate molecule PbSO4, causes the sulfate radical SO4 to ionically separate and repel from the lead plate

Methodology Applied
Scientific EffectIonization: Ionisation

Data Source

PatentUS11391778B2Category specific industrial battery optimization and restoration device, with battery diagnostics, battery life prognostication, and an artificial intelligence means
Publication Date: 2022.07.19 BRAVO ZULU INT
  • US11391778B2 patent drawing
  • US11391778B2 patent drawing
  • US11391778B2 patent drawing

AI summary

Improvements in a battery optimization and restoration device that uses a means of varying the regulator voltage as a function of time and discharge event timing and depth in order to establish a consistent power level for the charging of the capacitor. The device models the power supply regulation voltage as a first order factor as a function of time. The regulation voltage is modeled as a function of time so as to maintain an acceptable charging current at all times by charging a large capacitive load which is periodically discharged in a rapid pulse-like manner requires a modeled regulation voltage that is synchronized to the discharge frequency of the capacitor. The modeled charging is a function of the discharge depth and the charging height in initial capacitor voltage before the discharge and the final capacitor voltage after the discharge.