A streamlined and practical energy control strategy is necessary for electric vehicles due to their many configurations. However, many controllers use too many complex control methods or could only succeed in solving a part of the problem. The ultimate aim of this study is to increase both the distance and the life cycle of the battery, which often is difficult to achieve together. Many researchers have proposed the use of a fuzzy controller to strike a balance at optimizing the two above criteria. There are still limitations in this approach. The authors propose the use of a fuzzy controller with a low pass filter to reduce these limitations. The effective and feasible control strategy proposed in this study can be considered as suitable solution for real-time implementation on EVs.