Vehicle simulating method and system

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:
• (i) the plurality of vehicle parameters and the plurality of configuration parameters, and (ii) the one or more control parameters;
• obtaining safety information associated with the simulation;
• before activating the simulation, determining whether it is safe to activate the simulation;
• and performing the simulation in response to determining that it is safe to activate the simulation;
• and
• after activating the simulation, performing a safety check to determine whether it is safe to continue the simulation;
• and deactivating the simulation in response to at least one of following:
• (i) a determination that it is unsafe to continue the simulation, or (ii) receiving a request from the driver for deactivating the simulation.

A simulating system for an electric vehicle (EV), comprising:

• a plurality of input devices configured to provide a plurality of vehicle parameters;
• a memory containing program instructions;
• and
• a processor coupled to the memory and the plurality of input devices, wherein when the program instructions being executed, the processor is configured to:
• receive a request from a driver of the EV for performing a simulation of a target vehicle on the EV;
• obtain 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;
• obtain the plurality of vehicle parameters of the EV, at least including run-time parameters of the EV and driving conditions of the EV;
• perform 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:
• (i) the plurality of vehicle parameters and the plurality of configuration parameters, and (ii) the one or more control parameters;
• collect vehicle data during the simulation, the vehicle data including the plurality of configuration parameters and the one or more control parameters;
• anonymize the collected vehicle data to generate anonymized vehicle data;
• and
• upload, 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.

An electric vehicle (EV), comprising:

• a wireless communication device configured to connect to a cloud server and/or a mobile device carried by a driver of the EV;
• and
• an onboard computer system configured to perform:
• 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:
• (i) 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.

A simulating system for an electric vehicle (EV), comprising:

• a plurality of input devices configured to receive or determine a plurality of vehicle parameters;
• a memory containing program instructions;
• and
• a processor coupled to the memory and the plurality of input devices, wherein when the program instructions being executed, the processor is configured to:
• receive a request from a driver of the EV for performing a simulation of a target vehicle on the EV;
• obtain 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;
• obtain a plurality of vehicle parameters of the EV, at least including run-time parameters of the EV and driving conditions of the EV;
• perform 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:
• (i) the plurality of vehicle parameters and the plurality of configuration parameters, and (ii) the one or more control parameters;
• obtain safety information associated with the simulation;
• before activating the simulation, determine whether it is safe to activate the simulation;
• and perform the simulation in response to determining that it is safe to activate the simulation;
• and
• after activating the simulation, perform a safety check to determine whether it is safe to continue the simulation;
• and deactivate the simulation in response to at least one of following:
• (i) a determination that it is unsafe to continue the simulation, or (ii) receiving a request from the driver for deactivating the simulation.

An electric vehicle (EV), comprising:

• a wireless communication device configured to connect to a cloud server and/or a mobile device carried by a driver of the EV;
• and
• an onboard computer system configured to preform:
• 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:
• (i) the plurality of vehicle parameters and the plurality of configuration parameters, and (ii) the one or more control parameters;
• obtaining safety information associated with the simulation;
• before activating the simulation, determining whether it is safe to activate the simulation;
• and performing the simulation in response to determining that it is safe to activate the simulation;
• and
• after activating the simulation, performing a safety check to determine whether it is safe to continue the simulation;
• and deactivating the simulation in response to at least one of following:
• (i) a determination that it is unsafe to continue the simulation, or (ii) receiving a request from the driver for deactivating the simulation.