The enormous growth and demand for hybrid electric vehicle (HEV) technology leverage modern, efficient control methods in the on-demand HEV system. This work introduces a novel approach to controlling the speed of the HEV by implementing a PID controller with a distinct metaheuristic technique. The PID controller parameters are tuned using metaheuristic algorithms. Moreover, to optimize the parameters of the controller, the Honey Badger Algorithm (HBA) technique using PID controller is developed for regulating the speed of a HEV. Various objective functions such as IAE, ISE, ITAE, and ITSE are used to minimize the controller error. The efficacy of the proposed methods is measured in terms of the transient and steady-state analysis of the system, which is evaluated based on its performance index. The proposed controller gives optimum speed control of the HEV system using tuned values for the better result.