Views: 204 Author: Hedy Publish Time: 2023-06-26 Origin: Site
Batteries make the power source for almost everything that needs a portable power supply. When using a battery, we cannot tell how long it will last in exact figures since the system efficiency is a variable factor in every system. That’s why most devices often provide an estimate of remaining running time.Most smart devices around us give us the remaining charge percentage in the battery. So, if you want to make your battery's application more reliable, the state-of-charge calculation can greatly help you.
The state of charge measures battery charges as you do with a fuel gauge for a fuel tank or laptop battery. It is usually used in percentage terms since much simpler to understand.The formula for calculating the state of charge for a battery is very simple. It is the current ratio between the total charges inside the battery and the charges your battery can hold at full capacity.
Here the variable Qt represents the charges that your battery currently has, while Qn represents the total capacity of your battery to hold charges. Remember that you cannot use this formula of state of charge to get accurate measurements under every condition. It is because the working of a battery is a chemical process, and several factors contribute to the system's overall performance.One of those factors is power efficiency and loss of heat. These can change practical and theoretical values. That’s why the SoC value is often considered an approximate calculation.Another factor is the difference in the batteries and systems using that battery. Although the SoC measurement done by computers has become nearly accurate, it still needs a lot of development, and that's where battery management systems come in since they communicate every information, including the battery temperature.
There are multiple uses of the state of charge formula. The first one is that you can save the system from unpredictable blockage, which means the batteries will not overcharge. Overcharging batteries damages the system's internal circuitry, which can be prevented with SoC measurement.
SVM is the support vector machine technique that uses supervised learning methods to get an approximate measurement for better accuracy. Measuring the SoC for your battery may not give the most accurate practical results even when, theoretically, those results are 100% true. So, the solution is using the SVM technique since it resolves all the classification problems.
This technique of measuring SVM for a battery works by creating a subset of data for training the model. There could be multiple subsets of data from charge cycles, discharge cycles, testing cycles, current, voltage, battery temperature, battery utilization, etc. Hence, the model is trained with almost every possible factor that could be a part of the system.In that way, the SoC for a battery can be dynamically tested, and the SVM technique generates dynamic values depending on the varying factors that are highly accurate.
The automobile industry is currently one of the biggest applications of the SVM technique for SoC measurement. Electric vehicles need to give a near-accurate measurement of the remaining time/range for which the batteries can run depending on certain conditions.
While the basic SoC formula neglects every environmental factor, the SVM technique pays attention to all the factors that can be considered, and the level of accuracy is much higher. The best part is a dynamic computation that gives you the right range of information depending on how you are driving the car. It keeps the whole system safe and gives users a better experience with high peace of mind regarding battery reliability.