Currently, electric vehicles (EVs) lead the automotive revolution, prioritizing safety features and driver assistance functionalities, with Adaptive Cruise Control (ACC) is one of the features that ensure safety and comfort for the driver. However, a major drawback of electric vehicles is their limited moving distance and the management of energy consumption. This paper presents an analysis of the impact of control parameters range on energy consumption in electric vehicles by developing a longitudinal dynamic simulation model integrated with an ACC system using Model Predictive Control algorithm. Evaluation under the highway cycle scenario shows that using the ACC function in Eco mode saves 4.89Wh per kilometer compared to Normal mode and 5.29Wh per kilometer compared to Sport mode. The research findings serve as a basis for enhancing ACC control algorithms to improve energy consumption management and enhance performance for electric vehicles.