US 11,691,632 B1
Vehicle simulating method and system
Jeffrey Chen, Renton, WA (US); and Noah Gibbon, Seattle, WA (US)
Assigned to MERCEDES-BENZ GROUP AG, Stuttgart (DE)
Filed by Mercedes-Benz Group AG, Stuttgart (DE)
Filed on Dec. 6, 2022, as Appl. No. 18/62,287.
Int. Cl. B60W 40/09 (2012.01); B60W 10/30 (2006.01); B60W 50/00 (2006.01)
CPC B60W 40/09 (2013.01) [B60W 10/30 (2013.01); B60W 2050/0062 (2013.01); B60W 2556/45 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A simulating method for an electric vehicle (EV), comprising:
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;
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, wherein the vehicle simulator model is a neural network trained to reflect a relationship between: DI the plurality of vehicle parameters and the plurality of configuration parameters, and (ii) the one or more control parameters;
collecting vehicle data during the simulation, the vehicle data including the plurality of configuration parameters and the one or more control parameters;
anonymizing the collected vehicle data to generate anonymized vehicle data; and
uploading, when permitted by regulations and/or rules of a region in which the EV or the driver is located, the anonymized vehicle data to a server for retraining and updating the vehicle simulator model to improve user experience.