Abstract: A simulating method for an electric vehicle (EV) includes creating a simulation model associating a plurality of target behaviors of a target vehicle with the EV, obtaining a plurality of vehicle parameters of the EV to generate a set of EV control parameters, obtaining a plurality of configuration parameters of the target vehicle, based on the set of EV control parameters and the plurality of configuration parameters of the target vehicle, using the simulation model to provide a set of simulated target-vehicle controls, where the simulation model is a neural network trained to reflect a relationship between the set of EV control parameters and the set of simulated target-vehicle controls, and outputting the set of simulated target-vehicle controls to the EV, such that the EV is controlled to achieve the plurality of target behaviors of the target vehicle based on the set of simulated target-vehicle controls.

Abstract: A simulating method for an electric vehicle (EV) includes: receiving a request from a driver of the EV for performing a simulation of a target vehicle on the EV; obtaining a plurality of configuration parameters for simulating behavior of the target vehicle on the EV, at least including information of the target vehicle and settings of the target vehicle for the driver; obtaining a plurality of vehicle parameters of the EV, at least including run-time parameters of the EV and driving conditions of the EV; and performing a simulating process to obtain one or more control parameters to control the EV to realize behaviors, actions, and/or characteristics of the target vehicle on the EV based on the plurality of vehicle parameters and the plurality of configuration parameters using a vehicle simulator model. The vehicle simulator model is a neural network.