Accumulator Charging Efficiency Prediction via Segmented Measurement
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Solution Overview
Problem
Conventional charging systems face challenges in efficiently characterizing and predicting the energetic efficiency of accumulators, particularly due to difficulties in measuring energy losses within the accumulator and the charging system, which limits their ability to optimize charging processes and adapt to changing conditions over the lifetime of the system.
Innovation Solution
A method and system that characterizes the energetic efficiency of the charging system and accumulator by measuring voltage and current at various stages of the charging process, using interpolation and extrapolation functions to model the efficiency of the charging system and accumulator, allowing for real-time updates and predictions of charging efficiency across different states and temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional charging systems are used, then charging processes can be performed, but energy losses within the accumulator and charging system cannot be accurately measured or characterized
Solution Approach 1:
The measurement system is segmented into multiple independent measurement devices that measure voltage and current at different points (input section, output section, and across accumulator terminals). This segmentation allows accurate measurement of energy losses at each stage without requiring a single complex measurement system, thereby improving measurement precision while managing device complexity.
Solution Approach 2:
The patent introduces intermediary measurement devices (voltmeters and ammeters) as mediators between the charging system components. These intermediaries enable indirect measurement of energy losses by measuring voltage and current at accessible points and calculating power losses through mathematical relationships, solving the problem of directly measuring internal energy losses without physical modification of the accumulator.
2Measurement precision
If the charging system is characterized frequently to maintain accuracy, then measurement precision is improved, but loss of time and increased recalibration needs occur
Solution Approach 1:
The system performs preliminary characterization of the charging system and accumulator by conducting measurement campaigns during normal charging operations to establish efficiency profiles and power loss characteristics. This preliminary action creates a database of system behavior that can be used for prediction without requiring frequent recalibration, thus maintaining measurement precision while reducing time loss.
Solution Approach 2:
The system implements feedback mechanisms where measured voltage and current data are continuously monitored and used to update efficiency models. The measurement devices provide feedback about actual operating conditions, allowing the system to adapt to changes in accumulator state and charging system performance without requiring complete recalibration, thereby balancing precision with time efficiency.
3Productivity
If standard charging processes are used, then charging can be performed, but optimization of energetic efficiency is limited
Solution Approach 1:
The charging system is made dynamic by introducing controllable load devices that can adjust their power consumption in real-time based on measured operating conditions. The system dynamically modifies charging parameters (voltage, current, power distribution) to optimize energetic efficiency at different stages of charging, transforming a static charging process into an adaptive one that responds to actual system conditions.
Solution Approach 2:
The system optimizes charging efficiency by changing operational parameters such as voltage, current, and power distribution based on measured conditions. The controllable load devices adjust their parameters to maintain optimal charging efficiency across different states of charge and operating conditions, thereby improving productivity while managing complexity through parameter optimization rather than structural complexity.
Data Source
AI summary
The invention concerns a method comprising two fundamental steps. The first one is an innovative process of characterization of the energetic efficiency performed during a charging process of an accumulator, whereby one derives a series of information concerning: the dependency of the electric parameters of the accumulator on the state of charge; the dependency of the efficiency of the charging system on the voltage and current at the output of the charging system. The second step of the proposed method is a process of data calculation for the prediction of the energetic efficiency, wherein one simulates one or more charging processes. The method can be realized by means of a charging system able to perform both a standard process for charging the accumulator and a process of characterization of the energetic efficiency, and a process of prediction of the energetic efficiency.