Estimating the State of Health of Lithiumion Batteries using Support Vector Regression

The car business is changing as a result of recent developments in lithium-ion (Li-ion) storage technology. Fully electric cars (EVs) have the greatest range of autonomy and can operate in a variety of driving and environmental conditions. Stated differently, the same State of Charge (SOC) on two similar model EVs does not always equate to the same distance traveled because other factors affect how well the EVs perform, including the driver's style of behavior, the route, and even the State of Health (SOH) of the battery. The ratio of the battery's rated capacity to its current maximum capacity is known as the state of health, or SOH. It is an essential metric for characterizing the level of deterioration in a battery for a fully electric car. It also acts as a critical reference point for assessing the condition of a retired battery and computing its driving range. Support vector regression is used to estimate the state of health (SOH) of lithium-ion batteries, which is essential for their safe and lifetime-optimized operation.