Energy consumption decomposition method of electric vehicle, analysis method, system, device and medium

An energy consumption decomposition method of an electric vehicle, comprising:

• acquiring, by a processor, actual driving data of the electric vehicle to be analyzed during a trip,
• wherein the actual driving data comprises curb weight, load mass, trip route information and total trip energy consumption, and the trip route information comprises position data and speed data;
• determining, by the processor, a trip energy consumption rate and driving features of the trip in the actual driving data, wherein the driving features of the trip are influenced by a trip factor or a driving behavior factor;
• determining, by the processor, an energy consumption decomposition result of the electric vehicle according to the driving features and the trip energy consumption rate, wherein the energy consumption decomposition result at least comprises a component of the trip energy consumption rate corresponding to each driving feature of the trip, wherein the energy consumption decomposition result comprises a rolling-loss-associated component of the trip energy consumption rate, an aerodynamic-loss-associated component of the trip energy consumption rate, a high-speed-braking-loss-associated component of the trip energy consumption rate, a low-speed-braking-loss-associated component of the trip energy consumption rate, an ancillary-loss-associated component of the trip energy consumption rate, an altitude-change-associated component of the trip energy consumption rate, and an HVAC-operation-associated component of the trip energy consumption rate;
• presenting the energy consumption decomposition result of the electric vehicle on a human-computer interaction interface, and receiving a selection about a target component of the trip energy consumption rate by a user from the energy consumption decomposition result on the human-computer interaction interface;
• and
• in responding to the selection, presenting an energy consumption source and an energy-saving measure corresponding to the target component on the human-computer interaction interface,
• wherein in responding to the altitude-change-associated component being selected as the target component, a route in the trip route information of the trip is changed to be a route with least uphill sections among available routes of the trip;
• or in responding to the HVAC-operation-associated component being selected as the target component, a set temperature of an HVAC is adjusted to reduce a difference between the set temperature of the HVAC and an ambient temperature or the HVAC is turned off for a preset period.