# US 12,601,772 B2 · Energy consumption decomposition method of electric vehicle, analysis method, system, device and medium

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,601,772 B2
- Document ID: US12601772B2
- Status: Granted
- Kind: B2
- Application number: 18/465,426
- Filed: 2023-09-12
- Published: 2024-11-14
- Granted: 2026-04-14
- Earliest claimed: 2023-05-12
- Assignees: Jilin University
- Applicants: Jilin University
- Inventors: Xinmei Yuan; Leqi Gu; Yifan Ma; Zhoulun Zhao; Linghao Meng; Fanzhuo Meng; Jingfei Jiang
- Web page: https://patentgrep.com/patent/US12601772B2

## CPC

- G01R 21/133: by using digital technique
- B60L 3/0023: {Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train}
- B60L 15/2045: {for optimising the use of energy}
- B60L 2260/54: Energy consumption estimation
- G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12)
- B60L: PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES (arrangements or mounting of electrical propulsion units or of plural diverse prime-movers for mutual or common propulsion in vehicles B60K1/00, B60K6/20; arrangements or mounting of electrical gearing in vehicles B60K17/12, B60K17/14; preventing wheel slip by reducing power in rail vehicles B61C15/08; dynamo-electric machines H02K; control or regulation of electric motors H02P); SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES (electric coupling devices combined with mechanical couplings of vehicles B60D1/64; electric heating for vehicles B60H1/00); ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL (control or regulation of electric motors H02P); MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES

## Abstract

An energy consumption decomposition method of an electric vehicle, an analysis method, a system, a device and a medium are provided, relating to the technical field of energy consumption monitoring of an electric vehicle. The energy consumption decomposition method includes: acquiring actual driving data of an electric vehicle to be analyzed during a trip; determining the trip energy consumption rate and driving features of the trip according to the actual driving data, where driving features of the trip are influenced by a trip factor and/or a driving behavior factor; and determining an energy consumption decomposition result of the electric vehicle according to driving features and the trip energy consumption rate, where the energy consumption decomposition result at least includes components of the energy consumption rate corresponding to driving features of the trip.

## Claims

### Claim 1

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.

### Claim 2 (depends on 1)

The energy consumption decomposition method of the electric vehicle according to claim 1,
wherein the driving features of the trip comprise load intensity, climbing intensity, speed intensity, high-speed braking intensity, low-speed braking intensity, HVAC usage intensity influenced by the driving behavior factor and slow-driving intensity; or, the driving features of the trip comprise load intensity, climbing intensity, speed intensity, high-speed braking intensity, low-speed braking intensity and slow-driving intensity,
wherein the slow-driving intensity is calculated as follows:
I
slw
=
1
v
_
trip
,
wherein Islw indicates the slow-driving intensity, and Vtrip indicates an average speed in the trip;
wherein the driving features of load intensity, high-speed braking intensity, low-speed braking intensity and slow-driving intensity are influenced by the driving behavior factor,
wherein the driving feature of climbing intensity is influenced by the trip factor,
wherein the driving feature of speed intensity is influenced by the trip factor and the driving behavior factor, and
wherein a low speed is a speed less than a predetermined threshold speed, a high speed is a speed greater than or equal to the predetermined threshold speed.

### Claim 3 (depends on 2)

The energy consumption decomposition method of the electric vehicle according to claim 2, wherein,
the rolling-loss-associated component of the trip energy consumption rate is determined according to the load intensity and a weight coefficient corresponding to the load intensity;
the aerodynamic-loss-associated component of the trip energy consumption rate is determined according to the speed intensity and a weight coefficient corresponding to the speed intensity;
the high-speed-braking-loss-associated component of the trip energy consumption rate is determined according to the high-speed braking intensity and a weight coefficient corresponding to the high-speed braking intensity;
the low-speed-braking-loss-associated component of the trip energy consumption rate is determined according to the low-speed braking intensity and a weight coefficient corresponding to the low-speed braking intensity;
the ancillary-loss-associated component of the trip energy consumption rate is determined according to the slow-driving intensity and a weight coefficient corresponding to the slow-driving intensity;
the altitude-change-associated component of the trip energy consumption rate is determined according to the climbing intensity and a weight coefficient corresponding to the climbing intensity; and
the HVAC-operation-associated component of the trip energy consumption rate is determined according to the HVAC usage intensity and a weight coefficient corresponding to the HVAC usage intensity, if the driving features of the trip comprise the HVAC usage intensity; and
the HVAC-operation-associated component of the trip energy consumption rate is obtained by subtracting a component of the trip energy consumption rate corresponding to each driving feature of the trip from the trip energy consumption rate, if the driving features of the trip do not comprise the HVAC usage intensity.

### Claim 4 (depends on 3)

The energy consumption decomposition method of the electric vehicle according to claim 3,
wherein weight coefficients respectively corresponding to the driving features are obtained through a parameter learning experiment of an energy consumption decomposition algorithm, and
wherein the parameter learning experiment of the energy consumption decomposition algorithm comprises:
determining an actual driving data and a total trip energy consumption of an experimental electric vehicle in each of experimental trips of a laboratory test and an actual road driving test through the laboratory test or the actual road driving test, wherein the actual driving data in each of the experimental trips is experimental driving data;
calculating a trip energy consumption rate and driving features of each of the experimental trips in the experimental driving data; and
determining the weight coefficients of the driving features in an energy consumption model by using linear regression, with the trip energy consumption rate in each of the experimental trips as observations of a response in the energy consumption model, and with the driving features in each of the experimental trips as observations of explanatory variables in the energy consumption model.

### Claim 5 (depends on 4)

An energy consumption analysis method of the electric vehicle, comprising:
executing the energy consumption decomposition method of the electric vehicle according to claim 4, and determining the energy consumption source corresponding to each component of the trip energy consumption rate.

### Claim 6 (depends on 5)

An electronic device, comprising a human-computer interaction interface, a memory and a processor, wherein the memory is configured to store a computer program, and the processor runs the computer program so that the electronic device executes the method according to claim 5.

### Claim 7 (depends on 3)

An energy consumption analysis method of the electric vehicle, comprising:
executing the energy consumption decomposition method of the electric vehicle according to claim 3, and determining the energy consumption source corresponding to each component of the trip energy consumption rate.

### Claim 8 (depends on 7)

An electronic device, comprising a human-computer interaction interface, a memory and a processor, wherein the memory is configured to store a computer program, and the processor runs the computer program so that the electronic device executes the method according to claim 7.

### Claim 9 (depends on 2)

An energy consumption analysis method of the electric vehicle, comprising:
executing the energy consumption decomposition method of the electric vehicle according to claim 2, and determining the energy consumption source corresponding to each component of the trip energy consumption rate.

### Claim 10 (depends on 9)

An electronic device, comprising a human-computer interaction interface, a memory and a processor, wherein the memory is configured to store a computer program, and the processor runs the computer program so that the electronic device executes the method according to claim 9.

### Claim 11 (depends on 1)

An energy consumption analysis method of the electric vehicle, comprising:
executing the energy consumption decomposition method of the electric vehicle according to claim 1, and determining the energy consumption source corresponding to each component of the trip energy consumption rate.

### Claim 12 (depends on 11)

The energy consumption analysis method of the electric vehicle according to claim 11, further comprising:
determining the target component of the trip energy consumption rate from the energy consumption decomposition result; and
determining the energy consumption source and an energy-saving measure corresponding to the target component of the trip energy consumption rate,
wherein the target component of the trip energy consumption rate is a component of the trip energy consumption rate determined by subjective analysis based on an energy consumption rate proportion or a cumulative distribution function of each component of the trip energy consumption rate in combination with application scenarios; or, the target component of the trip energy consumption rate is a component of the trip energy consumption rate determined by subjective analysis based on each component of the trip energy consumption rate in combination with application scenarios.

### Claim 13 (depends on 12)

The energy consumption analysis method of the electric vehicle according to claim 12, wherein,
the energy consumption source corresponding to the rolling-loss-associated component of the trip energy consumption rate comprises an electric vehicle load or electric vehicle tires;
the energy consumption source corresponding to the aerodynamic-loss-associated component of the trip energy consumption rate comprises at least one of wind speed, vehicle aerodynamic resistance and vehicle speed during driving of the electric vehicle;
the energy consumption source corresponding to the high-speed-braking-loss-associated component of the trip energy consumption rate comprises braking operation during high-speed driving of the electric vehicle;
the energy consumption source corresponding to the low-speed-braking-loss-associated component of the trip energy consumption rate comprises braking operation during low-speed driving of the electric vehicle;
the energy consumption source corresponding to the ancillary-loss-associated component of the trip energy consumption rate comprises idle duration of the electric vehicle or and/or ancillary power;
the energy consumption sources corresponding to the altitude-change-associated component of the trip energy consumption rate comprises altitude change during driving of the electric vehicle; and
the energy consumption source corresponding to the HVAC-operation-associated component of the trip energy consumption rate comprises at least one of HVAC power of the electric vehicle, HVAC operation of a driver and ambient temperature,
wherein a low speed is a speed less than a predetermined threshold speed, a high speed is a speed greater than or equal to the predetermined threshold speed.

### Claim 14 (depends on 12)

The energy consumption analysis method of the electric vehicle according to claim 12, wherein,
an energy-saving measure corresponding to the rolling-loss-associated component of the trip energy consumption rate comprises at least one of reducing load and reducing loading hours;
an energy-saving measure corresponding to the aerodynamic-loss-associated component of the trip energy consumption rate comprises slowing down high-speed driving or optimizing vehicle aerodynamic resistance;
an energy-saving measure corresponding to the high-speed-braking-loss-associated component of the trip energy consumption rate comprises reducing or slowing down braking operation at high speed;
an energy-saving measure corresponding to the low-speed-braking-loss-associated component of the trip energy consumption rate comprises reducing and slowing down braking operation at low speed or optimizing a trip route of the electric vehicle;
an energy-saving measure corresponding to the ancillary-loss-associated component of the trip energy consumption rate comprises reducing idle duration of the electric vehicle;
an energy-saving measure corresponding to the altitude-change-associated component of the trip energy consumption rate comprises optimizing the trip route of the electric vehicle; and
an energy-saving measure corresponding to the HVAC-operation-associated component of the trip energy consumption rate comprises reducing operating hours of the HVAC or adjusting the set temperature of the HVAC to reduce a difference between the set temperature of the HVAC and an ambient temperature,
wherein a low speed is a speed less than a predetermined threshold speed, a high speed is a speed greater than or equal to the predetermined threshold speed.

### Claim 15 (depends on 11)

The energy consumption analysis method of the electric vehicle according to claim 11, wherein,
the energy consumption source corresponding to the rolling-loss-associated component of the trip energy consumption rate comprises an electric vehicle load or electric vehicle tires;
the energy consumption source corresponding to the aerodynamic-loss-associated component of the trip energy consumption rate comprises at least one of wind speed, vehicle aerodynamic resistance and vehicle speed during driving of the electric vehicle;
the energy consumption source corresponding to the high-speed-braking-loss-associated component of the trip energy consumption rate comprises braking operation during high-speed driving of the electric vehicle;
the energy consumption source corresponding to the low-speed-braking-loss-associated component of the trip energy consumption rate comprises braking operation during low-speed driving of the electric vehicle;
the energy consumption source corresponding to the ancillary-loss-associated component of the trip energy consumption rate comprises idle duration of the electric vehicle or ancillary power;
the energy consumption sources corresponding to the altitude-change-associated component of the trip energy consumption rate comprises altitude change during driving of the electric vehicle; and
the energy consumption source corresponding to the HVAC-operation-associated component of the trip energy consumption rate comprises at least one of HVAC power of the electric vehicle, HVAC operation of a driver and ambient temperature,
wherein a low speed is a speed less than a predetermined threshold speed, a high speed is a speed greater than or equal to the predetermined threshold speed.

### Claim 16 (depends on 11)

The energy consumption analysis method of the electric vehicle according to claim 11, wherein,
an energy-saving measure corresponding to the rolling-loss-associated component of the trip energy consumption rate comprises at least one of reducing load and reducing loading hours;
an energy-saving measure corresponding to the aerodynamic-loss-associated component of the trip energy consumption rate comprises slowing down high-speed driving or optimizing vehicle aerodynamic resistance;
an energy-saving measure corresponding to the high-speed-braking-loss-associated component of the trip energy consumption rate comprises reducing or slowing down braking operation at high speed;
an energy-saving measure corresponding to the low-speed-braking-loss-associated component of the trip energy consumption rate comprises reducing and slowing down braking operation at low speed or optimizing a trip route of the electric vehicle;
an energy-saving measure corresponding to the ancillary-loss-associated component of the trip energy consumption rate comprises reducing idle duration of the electric vehicle;
an energy-saving measure corresponding to the altitude-change-associated component of the trip energy consumption rate comprises optimizing the trip route of the electric vehicle; and
an energy-saving measure corresponding to the HVAC-operation-associated component of the trip energy consumption rate comprises reducing operating hours of the HVAC or reducing the set temperature of the HVAC,
wherein a low speed is a speed less than a predetermined threshold speed, a high speed is a speed greater than or equal to the predetermined threshold speed.

### Claim 17 (depends on 11)

An electronic device, comprising a human-computer interaction interface, a memory and a processor, wherein the memory is configured to store a computer program, and the processor runs the computer program so that the electronic device executes the method according to claim 11.

### Claim 18 (depends on 1)

An electronic device, comprising a human-computer interaction interface, a memory and a processor, wherein the memory is configured to store a computer program, and the processor runs the computer program so that the electronic device executes the energy consumption decomposition method of the electric vehicle according to claim 1.

### Claim 19 (depends on 1)

A non-transitory computer-readable storage medium, wherein a computer program is stored therein, the computer program, when executed by a processor, implements the energy consumption decomposition method of the electric vehicle according to claim 1.