This paper proposes a novel design of h-CSLQFL controller for reducing the battery size (kWh) and battery cost (US$/kWh) of electric vehicle (EV) system. The h-CSLQFL controller is a hybrid controller which is formed by the combination of Cuckoo search optimization (CSO), linear quadratic regulator (LQR), and fuzzy logic controller (FLC). The higher battery cost is one of the biggest challenges with EV due to which a significant number of consumers cannot afford to purchase it. The replacement of conventional vehicles with EV creates ecofriendly and sustainable solutions. For attaining the optimal reduced cost of battery, a strategy has been demonstrated by framing a multi-objective function which is controlled with h-CSLQFL controller. It commences with the design of mathematical model of EV in which supply voltage and current are the input parameters whereas the speed and torque are the output parameters. Thereafter, LQR controller was designed and implemented for analyzing the performance parameter of EV. Afterwards, CSO controller in support with LQR controller has been formulated in closed loop manner. At the end, the multi-objective function is controlled with LQR based CSO and LQR controller. It is observed that the least optimal economic cost and size of EV battery have been attained with h-CSLQFL controller in comparison to the LQR based CSO and LQR controller. In addition to this, the least risk factor and reduced sensitivity have been also attained with the proposed approach. The validation of the proposed h-CSLQFL controller has been done on a hardware set up.
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