Typically, renewable energy offers clean energy along with effective and optimal utilization on comparing other conventional sources of energy. On relating other renewable sources, solar photovoltaic (PV) based generation of power is accessible readily. This is employed widely for charging, lighting, and pumping of solar and so on. The issue associated with energy is minimized by using pollution-free renewable sources of energy without having emission and the maximum output power is attained using optimization process. For this purpose, this article presents a SEPIC based DC-to-DC converter design with the soft switching operation for the wide conversion operation of E-Automobiles. The solar PV source is given to boost converter with the use of Hierarchical Multi-Heuristic Chicken Swarm Optimization (HMH-CSO) based Maximum Power Point Tracking (MPPT) scheme. The converted source is given to SEPIC converter at which the Fuzzy Logic Controller (FLC) is employed. A SEPIC converter is a DC-to-DC converter that converts the fixed range of DC supply to the variable range of DC supply using duty ratio. The zero-voltage source (ZVS) soft switching operation of converter is provided. The converted output is inverted by means of three-phase inverter at which the generation of pulse width modulation (PWM) is made by means of FLC controller employed. The inverted output is given to the load (BLDC motor) by filtering using Low Pass Filter (LPF). Thus, an efficient generation of power is made and is given to the load of BLDC motor side. The performance analysis is made for traditional PID (Proportional-Integral-Derivative) controller and FLC controller and the outcomes attained for both controllers are compared to show the efficiency of proposed FLC controller. The performance is estimated in terms of Rise time, peak time, peak overshoot, settling time, delay time, output voltage, output current, and steady state error. The comparative analysis shows that proposed design using FLC controller offers better outcome than others.