Sep 2026· International Journal of Power Electronics and Drive Systems (IJPEDS)· 0 citations· 25 references
Abstract
Battery-powered electric vehicles (BEVs) are gaining significant attention due to high energy efficiency, zero emissions, and advanced control systems. This article illustrates the performance analysis of BEV, which consists of a high-voltage battery pack, a BEV controller, a motor driver, a gearbox, and a longitudinal driver. A conventional PID controller is used as a BEV controller. Several optimal algorithms are employed for tuning the PID controller, including the Ziegler-Nichols method (ZN method), particle swarm optimization (PSO), genetic algorithm (GA), grey wolf optimization (GWO), artificial bee colony algorithm (ABC), and artificial hummingbird algorithm (AHA). The proposed research framework was assessed in terms of vehicle efficiency, battery power consumption, vehicle mileage, motor speed, and battery state of charge (SOC). Metaheuristic algorithms with PID controllers outperform conventional PID and classical ZN-PID controllers. Among all algorithms, the PID-GWO controller achieves maximum vehicle mileage, low battery power consumption, improved battery SOC, and the highest vehicle efficiency.
This paper presents a speed control strategy for an interior permanent magnet synchronous motor (IPMSM) used in electric vehicles employing the ant colony optimization algorithm (ACO). The ACO algorithm is utilized to optimize the speed controller parameters, aiming to minimize overshoots, settling time, and tracking e...
The rapid growth of electric vehicles (EVs) has created significant challenges for the modernization of power systems, particularly in energy management, grid stability,
and infrastructure readiness.
This article presents a sophisticated energy management system (EMS) intended for a
photovoltaic (PV)-battery...
Hasan Wahhab Salih Rabee, A. Abdulsada, Sadeq Abdullah Shaban· Recent Advances in Electrica...· 0 citations
Permanent Magnet Synchronous Motors (PMSMs) are widely employed in electric vehicle (EV) propulsion systems because of their high efficiency, high power density, and superior dynamic performance. The performance of field-oriented control (FOC)-based PMSM drives strongly depends on accurate tuning of the proportional–in...
Ahmed Mashaly, M. Elgohary, R. El-Sehiemy· Machines· 1 citation
In photovoltaic-based hybrid energy storage systems (PV–HESS), rapid power transients accelerate battery degradation, directly reducing the operating lifetime and sustainability of renewable power resources. To address this issue, the current study proposes an optimal coordinated framework for the simultaneous and coor...
Ahmed Mashaly, Sahar S. Kaddah, Islam Ismael et al.· Sustainability· 0 citations
The growing penetration of renewable energy sources and electric vehicles (EVs) into modern power systems has introduced significant challenges for Automatic Generation Control (AGC), including nonlinearities, communication delays, and load uncertainties that conventional Proportional-Integral-Derivative (PID) controll...
Jagan Surwanshi and Prashant Garg· International Journal of Adv...· 0 citations
Energy management is a key factor in the range, safety and battery life of electrified vehicles. In this study, a Recursive Least Squares (RLS)-augmented Model Predictive Control (MPC) framework is designed and validated for real-time energy management of four different EV powertrain architectures: Battery Electric Veh...
Digvijay B. Kanase, Arun Thorat, P. Mane et al.· Clean Energy Science and Tec...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
