Digital Twin (DT) technology has gained popularity in science and tech industry. This research explores how Digital twin(DT) technology combined with anomaly detection can enhance the reliability of the Electric Vehicle (EV). In the paper, authors provide an analysis of the methods and tools that are implemented in existing DT for EV, which has shown that anomaly detection could improve functionality of the DT and robustness of the EV. A modular approach and Model based design techniques were used by the authors. For the anomaly detection Failure Mode Effect Analysis was used. The anomaly detection algorithm for Open Modular Experimental Electrical Vehicle (OMAX EV) was developed, which allows to reach accuracy 83%.