Battery Emulation Apparatus with Automated Model Selection
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Solution Overview
Problem
Users face difficulties in accurately simulating various battery types for testing devices-under-test (DUT) due to the need to set multiple parameters manually, which can lead to inaccuracies and is cumbersome, especially when simulating multiple types successively.
Innovation Solution
A battery emulation apparatus with a user interface for setting battery parameters and measurement criteria, a data storage for multiple battery models, and a processor that autonomously selects and emulates suitable battery models based on input parameters, monitoring and evaluating physical responses to assess suitability for the DUT.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually set multiple battery parameters to simulate different battery types, then the simulation accuracy can be improved, but the operation complexity and time consumption increase significantly
Solution Approach 1:
The system pre-stores multiple battery models with their characteristic parameters in the data storage module. When a user wants to simulate a specific battery type, they only need to select from the pre-stored models rather than manually setting each parameter, thus maintaining simulation accuracy while greatly simplifying operation.
Solution Approach 2:
The processor acts as an intermediary that automatically selects and configures the appropriate battery model parameters based on user input. This intermediary function eliminates the need for users to manually set multiple parameters, reducing operation complexity while maintaining the precision of the simulation through automated parameter selection.
2Adaptability or versatility
If users manually adjust multiple parameters to simulate different battery types, then the simulation can be customized, but the time consumption increases when simulating multiple battery types successively
Solution Approach 1:
Multiple battery models are pre-stored in the data storage module with their respective parameters already configured. When users need to simulate different battery types, they simply select from the pre-prepared models, eliminating the time-consuming manual parameter adjustment process while maintaining the ability to simulate various battery types.
Solution Approach 2:
The system creates virtual copies of different battery models in the data storage, each representing a specific battery type with its characteristic parameters. These digital copies can be quickly selected and loaded without physical manipulation or manual parameter setting, enabling rapid successive simulation of multiple battery types while preserving customization capabilities.
3Measurement precision
If users set battery parameters with high accuracy requirements, then the simulation fidelity improves, but the risk of input errors increases
Solution Approach 1:
Battery parameters are pre-configured and validated during the model creation phase. The pre-stored battery models contain verified parameter sets that meet high accuracy requirements, eliminating the risk of user input errors while maintaining simulation fidelity.
Solution Approach 2:
The system provides feedback to users by displaying available battery models and their parameters for selection. This feedback mechanism guides users to select from validated models rather than entering parameters manually, reducing input error risk while ensuring the accuracy requirements are met through the use of pre-validated parameter sets.
Data Source
AI summary
A battery emulation apparatus for supplying a device-under-test (DUT) with electrical power, comprising output terminals for connecting the DUT and an output voltage module providing a variable DC output voltage. A user interface receives a user input comprising the setting of battery parameter(s) and measurement criteria. A data storage stores data representing battery models. A processor selects a battery model based on the parameter(s) and controls the output voltage module to emulate characteristics of the selected battery model(s) according the data, while supplying the DUT with the output voltage. The processor monitors a response of the DUT and/or the output voltage module to the emulated characteristics of the selected battery model(s), wherein the response comprises a physical measurement value. The processor evaluates said physical measurement value based on the set measurement criteria in order to assess the suitability of the selected model(s).