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Electric vehicles emerged new applications that are strongly related to the energy constraints such as the identification of the optimal path toward the vehicle's destination or toward the nearest recharging station, selection of the path where vehicle recovers extra energy, estimation of the need to recharge according to the actual battery state and the traffic state, etc. However, in electric vehicular networks, vehicles may provide wrong energy information due to sensors' failure, selfish or malicious reasons. Therefore, energy-related information trustworthiness needs to be evaluated in order to preserve the quality of the presented applications. In this paper, we address the energy-related information trustworthiness to discriminate between credible and erroneous values. Therefore, we propose a new fuzzy-based trust model that deals with the information uncertainties. This model aims at detecting the wrong energy information that mismatches with the vehicle's behavior and ensure that only trustworthy and plausible energy-information are handled. Results prove the performance of the proposed model and its capabilities to deal with several kinds of threats in different traffic densities with high precision.