A group of researchers at the Indian Institute of Technology, Guwahati, has generated an innovative technique that could gauge one of the most crucial battery internal states known as the SOC (state of charge). SOC reflects the residual capacity of this battery life, i.e., just how much more charge could be taken out from the battery until it gets fully discharged.
The comprehension of remaining capacity helps maximize the battery’s ability usage, stop overcharging, and undercharging their battery increases its lifespan, reduces cost, and ensures that the security of the battery and its environment. Unfortunately, such a very significant parameter cannot be directly quantified by any detector.
We could infer SOC by utilizing the available measured amounts like battery terminal voltage and current. On the other hand, the exceptionally non-linear facet of this lithium-ion battery makes it difficult to gauge the SOC properly. Thus, a well-developed quote algorithm is essential, ensuring accurate, reliable, and cost-effective SOC estimation, states IIT, Guwahati announcement.
In the last several decades, lithium-ion batteries are often recognized in many different applications due to their low carbon dioxide, higher energy density, reduced self-discharge speed, and reduced upkeep price. Aside from the numerous day-to-day tiny devices such as mobile phones, laptops, etc., they have also been widely used in several other vital applications like electric vehicles. Renewable Energy Sources (RES) incorporated intelligent grids, microgrids, etc.
The emission of greenhouse gases in burning fossil fuel in the combustion motor has made the transportation industry the utmost contributor to rising air pollution. The greenhouse gases have been proven to function as heat-trapping and consequently cause global warming. Electric vehicles (EVs) have become the most suitable alternatives to traditional fossil fuel-based cars. The battery functions as the prime power supply of electric cars.
From the RES integrated smart grid, the accessibility to solar and wind power is irregular. Thus a power storage system, just like a battery, must keep the energy available and use it afterward when required. In micro-grids, intermittent RES is integrated along with the battery to save energy in twenty-four hours and supply power in peak hours or during the unavailability of renewable energy. Additionally, it helps in specific crises. In these applications, the exact estimation of SOC plays an essential part in their effective performance.
Researchers divided the problem into two components. The first was to derive the mathematical version of this lithium-ion battery, closely displaying its dynamic attributes. Then, using a couple of innovative system controllers and mathematical theories like the slipping mode concept, they’ve tried to gauge the battery’s internal requirements just.
The proposed technique suggests the tremendously powerful attributes and works correctly even in distinct external disturbances such as sensor inaccuracy, temperature variation, etc. When compared with the present methods, the proposed technique increases the precision and reduces the computational time and so wants an inexpensive microcontroller chip because of its commercialization.
The research team includes Professor Somanath Majhi, Dr. Sisir Kumar Nayak, Associate Professor, and Gautam Sethia, Research Scholar. They’ve released their research in IEEE Transactions on Circuit and System-I journal. (Source: India Science Wire)