Multivariate optimization for maximum capacity of lead acid battery through Taguchi method

The battery is an important electrochemical constituent for sustaining the trouble free and uninterrupted service to its users. Estimation of battery capacity and various states are very important to efficiently allocated available energy and to reduce the possibility of system failure. The estimation could become more complicated when the investigations are to be made under multiple parameters. In this research work, Taguchi method is used to achieve maximum capacity of 12 V 7.2 Ah AMARON SLA SMF battery under condition of C-rate, temperature and relative humidity. A regression model based on the experimental results is developed and validated by high R 2 values (97.02%) for maximum capacity attained. Estimated operating conditions obtained for objective function by regression model equation are; C-rate 0.05C, temperature 313 K and relative humidity 25%. The results will shed light on better understanding the effect of multiple parameters on capacity of lead acid battery. (C) 2019 Elsevier Ltd. All rights reserved.