The development of new generation battery solutions for transportation and grid storage with improved performance is the goal of this paper, which introduces the novel concept of Smart Battery that brings together batteries with advanced power electronics and artificial intelligence (AI).
Therefore, it is essential to find a strategy that is able to operate with cells having unequal characteristics without limitation in performance. For achieving this goal, the concept of Smart Battery technology is proposed in this paper, using power electronics for the bypass device and artificial intelligence for performance optimization.
By incorporating the concept of intelligence into battery design and manufacture, the new power systems that integrate cutting-edge information technologies are poised to revolutionize the energy transformation process. Despite these advancements, the concept and understanding of smart batteries still lack clarity.
The methodology described above is both a data- and computationally-intensive process, which would be very difficult to implement for most battery architectures. However, as outlined in Section 2, the Smart Battery technology will have the ability to collect raw signals of current, voltage, and temperature directly.
Thus, further investigation of smart battery management technology will not only enhance battery lifetime and performance but also expand the battery and EV market, thereby achieving a pathway for SDGs concerning emission reduction, clean energy, employment opportunities, economic development, and sustainable cities.
In order to better monitor battery status, visualize data in real time, enable more accurate and reliable battery prediction and diagnosis, and ultimately enable more effective autonomous control and system decision optimization, big-data-driven self-decision-making smart batteries utilize these technologies.