Hybrid TDO–SDRN approach-based energy management of a hybrid electric vehicle

This study proposes a hybrid approach for a series of hybrid electric tracked vehicle’s (SHETV) energy management (EM). The proposed hybrid method is the combined operation of both the Tasmanian Devil Optimization (TDO) and Spiking Deep Residual Network (SDRN) and is commonly called as TDO–SDRN method. The proposed method’s primary objective is to improve the hybrid electric vehicles (HEV) operational efficiency and fuel economy. Firstly, the power train (PT) model of the SHETV is established, and then the equivalent EM formation is established. Consequently, a novel deviation of TDO is applied to EM control for SHETV. Secondly, the SDRN optimization method is utilized to reduce the error and predict the fuel economy's ideal value. By then, the proposed techniques performance is executed in the MATLAB platform and contrasted with various existing approaches. From this conclude that the proposed approach-based SoC is higher than the others.