Vehicle breaking energy recovering method and apparatus

Patent metadata

Field	Value
Publication number	US-11260756-B2
Application number	US-201916407977-A
Country	US
Kind code	B2
Filing date	May 9, 2019
Priority date	Nov 9, 2016
Publication date	Mar 1, 2022
Grant date	Mar 1, 2022

Abstract

A vehicle braking energy recovering method includes obtaining current location information of a vehicle, determining a current road scenario based on the current location information of the vehicle, determining the current road scenario based on a mapping relationship between a road scenario and a weight, determining a safe distance and a safe speed of the vehicle based on the weight, determining a target torque based on the safe distance and the safe speed of the vehicle, and controlling, based on the target torque, a motor of the vehicle to recover braking energy.

First claim

What is claimed is:

1. A vehicle braking energy recovering method, comprising:
obtaining information perceived by a vehicle;
determining a first distance based on the information perceived by the vehicle, wherein the first distance is a relative distance between a first obstacle and the vehicle;
obtaining information from an Internet of Vehicles;
determining a second distance based on the information from the Internet of Vehicles, wherein the second distance is a second relative distance between a second obstacle and the vehicle;
determining a third distance based on the first distance and the second distance;
determining a target torque of the vehicle based on the third distance; and
controlling a motor of the vehicle to recover braking energy based on the target torque.

2. The method according to claim 1 , wherein the method further comprises:
obtaining road historical information from a cloud data center; and
determining a fourth distance based on the road historical information, wherein the fourth distance is a relative distance between a third obstacle and the vehicle, and
wherein determining the third distance comprises determining the third distance based on the first distance, the second distance, and the fourth distance.

3. The method according to claim 1 , further comprising:
determining a first speed based on the information perceived by the vehicle, wherein the first speed is a relative speed between the first obstacle and the vehicle;
determining a second speed based on the information from the Internet of Vehicles, the second speed is a relative speed between the second obstacle and the vehicle; and
determining a third speed based on the first speed and the second speed, and
wherein the determining the target torque comprises determining the target torque based on the third distance and the third speed.

4. The method according to claim 3 , wherein the method further comprises:
obtaining road historical information from a cloud data center; and
determining a fourth speed based on the road historical information, wherein the fourth speed is a relative speed between a third obstacle and the vehicle, and
wherein determining the third speed comprises determining the third speed based on the first speed, the second speed, and the fourth speed.

5. The method according to claim 3 , wherein determining the target torque comprises:
calculating a target deceleration based on a driving speed of the vehicle, the third distance, and the third speed; and
determining the target torque based on the target deceleration.

6. The method according to claim 5 , wherein calculating the target deceleration comprises calculating the target deceleration according to the following formula,

a
trg

=

v
safe
2

-

v
2

2
⁢

L
safe

,

wherein a trg is the target deceleration, V safe is the third speed, L safe is the third distance, and v is the driving speed of the vehicle.

7. The method according to claim 3 , wherein the method further comprises:
obtaining current location information of the vehicle;
determining a current road scenario based on the current location information of the vehicle;
determining a speed weight corresponding to the current road scenario based on a mapping relationship between the current road scenario and the speed weight,
wherein determining the third speed comprises determining the third speed based on the first speed, the second speed, and the speed weight.

8. The method according to claim 1 , further comprising:
obtaining current location information of the vehicle;
determining a current road scenario based on the current location information of the vehicle; and
determining a distance weight corresponding to the current road scenario based on a mapping relationship between the current road scenario and the distance weight,
wherein determining the third distance comprises determining the third distance based on the first distance, the second distance, and the distance weight.

9. A vehicle braking energy recovering apparatus, wherein the apparatus comprises:
a memory configured to store instructions; and
a processor coupled to the memory and configured to execute the instructions, which when executed, cause the processor to be configured to:
obtain information perceived by a vehicle;
determine a first distance based on the information perceived by the vehicle, wherein the first distance is a relative distance between a first obstacle and the vehicle;
obtain information from an Internet of Vehicles;
determine a second distance based on the information from the Internet of Vehicles, wherein the second distance is a second relative distance between a second obstacle and the vehicle;
determine a third distance based on the first distance and the second distance;
determine a target torque of the vehicle based on the third distance; and
control a motor of the vehicle to recover braking energy based on the target torque.

10. The apparatus according to claim 9 , wherein the instructions, when executed by the processor, further cause the processor to be configured to:
obtain road historical information from a cloud data center;
determine a fourth distance based on the road historical information, wherein the fourth distance is a relative distance between a third obstacle and the vehicle, and
wherein determining the third distance comprises determining the third distance based on the first distance, the second distance, and the fourth distance.

11. The apparatus according to claim 10 , wherein the road historical information comprises at least one of an average vehicle speed in a current time period, an average vehicle distance in the current time period, or a second congestion coefficient.

12. The apparatus according to claim 9 , wherein the instructions, when executed by the processor, further cause the processor to be configured to:
determine a first speed based on the information perceived by the vehicle, wherein the first speed is a relative speed between the first obstacle and the vehicle;
determine a second speed based on the information from the Internet of Vehicles, the second speed is a relative speed between the second obstacle and the vehicle;
determine a third speed based on the first speed and the second speed; and
determine the target torque based on the third distance and the third speed.

13. The apparatus according to claim 12 , wherein the instructions, when executed by the processor, further cause the processor to be configured to:
obtain road historical information from a cloud data center;
determine a fourth speed based on the road historical information, wherein the fourth speed is a relative speed between a third obstacle and the vehicle, and
wherein determining the third speed comprises determining the third speed based on the first speed, the second speed, and the fourth speed.

14. The apparatus according to claim 12 , wherein the instruc

Assignees

• Huawei Tech Co Ltd

Inventors

• Liu Zuqi
• Zheng Jianfeng
• Ma Jinbo
• Huang Jiajun
• Zhang Wei

Classifications

• B60L2240/68

  Traffic data · CPC title

• B60L2240/421

  Speed · CPC title

• B60L15/2009

  for braking · CPC title

• B60L7/10 Primary

  Dynamic electric regenerative braking (B60L7/22 takes precedence) · CPC title

• B60L2240/423

  Torque · CPC title