Energy recuperation is crucial to optimizing electric vehicles' efficiency and driving range (EVs). This study models and analyzes the recuperation process under real-world driving conditions, considering key factors such as driving style, road slopes, and traffic conditions. A comparative simulation was conducted using two approaches: one incorporating driving styles and traffic light influences and another assuming uniform energy consumption. The results indicate that accounting for driving styles leads to a more accurate energy consumption prediction, with variations of up to 15% depending on driving behavior. Aggressive driving significantly reduces recuperation efficiency, whereas an economical driving style maximizes energy recovery. The study highlights the importance of including these real-world factors in EV range estimation models to improve energy management strategies
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