Improve the measurement accuracy of battery capacity divider cabinet
To improve the measurement accuracy of battery capacity distribution cabinets, the following aspects can be taken into consideration:
1、 Hardware optimization
Select high-precision sensors:
Invest in high-quality current and voltage sensors to ensure they have high resolution and low error. For example, selecting sensors with an accuracy within ± 0.01% can more accurately measure the current and voltage changes of the battery during charging and discharging processes.
Regularly calibrate sensors to eliminate errors caused by prolonged use or environmental changes. Professional calibration equipment can be used to calibrate sensors at regular intervals (such as quarterly or semi annual).
Improve power stability:
Using high-performance constant current and constant voltage sources to ensure stable and reliable output current and voltage. For example, choosing a power module with low ripple coefficient and high-precision adjustment function can reduce the impact of power supply fluctuations on measurement accuracy.
Add power filtering and voltage stabilization circuits to further improve the stability of the power supply. Filters composed of inductors, capacitors, and other components, as well as high-precision voltage regulation chips, can be used to reduce noise and interference in the power supply.
Optimize connections and fixtures:
Design a reasonable battery connection fixture to ensure a firm and reliable connection between the battery and the distribution cabinet, with minimal contact resistance. For example, using materials with good elasticity and excellent conductivity to make fixtures ensures close contact with battery electrodes.
Regularly inspect and maintain the connection lines to ensure that they are not damaged or loose. Timely replace aging or damaged circuits to ensure the accuracy of signal transmission.
2、 Software improvement
Optimize data collection and processing algorithms:
Increase the frequency of data collection to more accurately capture subtle changes in the battery during charging and discharging processes. For example, increasing the collection frequency from tens of times per second to hundreds or even higher can obtain more data points and improve measurement accuracy.
Adopting advanced filtering algorithms and data smoothing techniques to remove noise and interference from the collected data. For example, using algorithms such as median filtering and mean filtering to preprocess data and improve its quality.
Develop intelligent data analysis software that can automatically identify and eliminate abnormal data, improving the accuracy of measurement results. For example, by setting reasonable thresholds and judgment conditions, abnormal data caused by battery failure or external interference can be automatically identified and processed accordingly.
Improve the capacity calculation model:
Conduct in-depth research on the charging and discharging characteristics of batteries and establish a more accurate capacity calculation model. Consider the influence of factors such as battery temperature, internal resistance, and self discharge on capacity, and determine the parameters in the model through experiments and data analysis.
Continuously optimize and update capacity calculation models to adapt to different types and specifications of batteries. With the continuous development of battery technology, new battery characteristics and performance indicators continue to emerge, and it is necessary to adjust and improve the capacity calculation model in a timely manner.
3、 Environmental control
Temperature control:
Equip the container with constant temperature equipment to ensure that the testing environment temperature remains stable within a suitable range. For example, in the testing of lithium-ion batteries, controlling the temperature at 25 ℃± 2 ℃ can reduce the impact of temperature changes on battery performance and measurement accuracy.
Preheat or cool the battery to reach a stable temperature state before testing. Heating elements or cooling fans can be used to regulate the temperature of the battery, ensuring the accuracy of the test results.
Humidity control:
Maintain the relative humidity of the testing environment within an appropriate range to avoid excessive or insufficient humidity affecting the battery and distribution cabinet. Generally speaking, it is more appropriate to control the relative humidity between 40% and 60%.
Dehumidifiers or humidifiers can be used to adjust the humidity of the testing environment. At the same time, seal the container to prevent external moisture from entering.
4、 Personnel training and management
Operator training:
Provide professional training to the operators of the container to familiarize them with the operation methods, performance characteristics, and precautions of the equipment. The training content includes correct operation procedures such as connecting batteries, setting parameters, reading data, and how to identify and handle common faults.
Regularly organize skill assessments and knowledge updates for operators to ensure their operational level and professional competence continue to improve. The skills of operators can be evaluated and improved through simulation testing, practical operation assessment, and other methods.
Equipment management and maintenance:
Establish a comprehensive equipment management system, including daily maintenance, regular upkeep, and troubleshooting of equipment. Develop detailed maintenance plans and operating procedures to ensure that the equipment is always in good working condition.
Regularly inspect and calibrate equipment, promptly identify and resolve any issues with the equipment. Equipment archives can be established to record the usage, maintenance history, and calibration results of the equipment for easy management and traceability.
Through the implementation of the above comprehensive measures, the measurement accuracy of the battery capacity divider can be effectively improved, providing more accurate and reliable data support for battery production, quality control, and performance evaluation.
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