IP Library Granted Patent US 12,441,336
Granted Patent B2
US 12,441,336 · App. 18/564,883 · Granted Oct 14, 2025

Fuel consumption prediction system and fuel consumption prediction method

Inventors: Geert Schoors (Tokyo, JP); David Hensher (Darlington, AU)
Assignee: BRIDGESTONE CORPORATION
B60W50/0097B60W40/09G01C21/3469
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Quick Facts
Patent No.
US 12,441,336
App. No.
18/564,883
Granted
Oct 14, 2025
Kind
B2
Abstract

A fuel consumption prediction system predicts the fuel consumption of a vehicle comprising a fleet. The fuel consumption prediction system a driver-related coefficient to be applied to the driver-related explanatory variable and a vehicle-related coefficient to be applied to the vehicle-related explanatory variable based on the actual values of the driver-related explanatory variables and the vehicle-related explanatory variables, and calculates fuel consumption as an objective variable by using the driver related explanatory variables and the vehicle related explanatory variables. The fuel consumption prediction system recalculates a predicted value of the fuel consumption when at least one of the attribute of the driver and the attribute of the vehicle is changed by using the driver-related coefficient and the vehicle-related coefficient.

Claims (27)

1. A fuel consumption prediction system that predicts the fuel consumption of a vehicle comprising a fleet, comprising:

a driver-related variable acquisition unit for acquiring a plurality of driver-related explanatory variables related to attributes of a driver who drives the vehicle;

a vehicle-related variable acquisition unit for acquiring a plurality of vehicle-related explanatory variables related to attributes of the vehicle;

a coefficient setting unit for setting a driver-related coefficient to be applied to the driver-related explanatory variable and a vehicle-related coefficient to be applied to the vehicle-related explanatory variable based on actual values of the driver-related explanatory variables and the vehicle-related explanatory variables; and

an objective variable calculation unit that calculates fuel consumption as an objective variable by using the driver related explanatory variables and the vehicle related explanatory variables, wherein the objective variable calculation unit:

estimates, by adjusting at least one of the driver-related coefficient of the driver related explanatory variable that affects the fuel consumption or the vehicle-related coefficient of the vehicle-related explanatory variable that affects the fuel consumption, the fuel consumption that changes when the at least one of the driver-related coefficient or the vehicle-related coefficient is changed; and

recalculates a predicted value of the fuel consumption when at least one attribute of the driver or attribute of the vehicle is changed by using the driver-related coefficient and the vehicle-related coefficient.

2. The fuel consumption prediction system according to claim 1 , wherein the driver related variable acquisition unit acquires, as the driver related explanatory variable, at least one of an average age, a gender ratio, an average years of experience, and a number of persons per predetermined mileage of the driver.

3. The fuel consumption prediction system according to claim 1 , wherein the vehicle-related variable acquisition unit acquires, as the vehicle-related explanatory variable, a wearing speed of the tire mounted on the vehicle.

4. The fuel consumption prediction system according to claim 1 , wherein the vehicle-related variable acquisition unit acquires, as the vehicle-related explanatory variable, an average speed of the vehicle.

5. The fuel consumption prediction system according to claim 1 , wherein the vehicle-related variable acquisition unit acquires an average temperature of tires mounted on the vehicle as the vehicle-related explanatory variable.

6. A fuel consumption prediction method for predicting the fuel consumption of a vehicle comprising a fleet, the fuel consumption prediction method comprising the steps of:

acquiring a plurality of driver-related explanatory variables related to attributes of a driver who drives the vehicle;

acquiring a plurality of vehicle-related explanatory variables related to the attribute of the vehicle;

setting a driver-related coefficient applied to the driver-related explanatory variable and a vehicle-related coefficient applied to the vehicle-related explanatory variable based on actual values of the driver-related explanatory variables and the vehicle-related explanatory variables; and

calculating the fuel consumption as an objective variable using the driver-related explanatory variables and the vehicle-related explanatory variables, wherein

in the step of calculating the objective variable;

by adjusting at least one of the driver-related coefficient of the driver-related explanatory variable that affects the fuel consumption or the vehicle-related coefficient of the vehicle-related explanatory variable that affects the fuel consumption, the fuel consumption, which changes when the at least one of the driver-related coefficient or the vehicle-related coefficient is changed, is estimated; and

a predicted value of the fuel consumption is recalculated when at least one attribute of the driver or attribute of the vehicle is changed by using the driver-related coefficient and the vehicle-related coefficient.

7. The fuel consumption prediction system according to claim 2 , wherein the vehicle-related variable acquisition unit acquires, as the vehicle-related explanatory variable, a wearing speed of the tire mounted on the vehicle.

8. The fuel consumption prediction system according to claim 2 , wherein the vehicle-related variable acquisition unit acquires, as the vehicle-related explanatory variable, an average speed of the vehicle.

9. The fuel consumption prediction system according to claim 3 , wherein the vehicle-related variable acquisition unit acquires, as the vehicle-related explanatory variable, an average speed of the vehicle.

10. The fuel consumption prediction system according to claim 2 , wherein the vehicle-related variable acquisition unit acquires an average temperature of tires mounted on the vehicle as the vehicle-related explanatory variable.

11. The fuel consumption prediction system according to claim 3 , wherein the vehicle-related variable acquisition unit acquires an average temperature of tires mounted on the vehicle as the vehicle-related explanatory variable.

12. The fuel consumption prediction system according to claim 4 , wherein the vehicle-related variable acquisition unit acquires an average temperature of tires mounted on the vehicle as the vehicle-related explanatory variable.

13. The fuel consumption prediction system according to claim 1 , wherein the objective variable calculation unit estimates, by adjusting at least one of the driver-related coefficient of the driver related explanatory variable that affects a tire wear or the vehicle-related coefficient of the vehicle-related explanatory variable that affects the tire wear, the tire wear that changes when the at least one of the driver-related coefficient or the vehicle-related coefficient is changed.

14. The fuel consumption prediction method according to claim 6 , wherein a tire wear is estimated by adjusting at least one of the driver-related coefficient of the driver related explanatory variable that affects the tire wear or the vehicle-related coefficient of the vehicle-related explanatory variable that affects the tire wear, the tire wear changing when the at least one of the driver-related coefficient or the vehicle-related coefficient is changed.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 28, 2023
From: SCHOORS, GEERT; HENSHER, DAVID
To: BRIDGESTONE CORPORATION
Reel/Frame 065686/0492 →
Priority Claims (1)
JP 2021-106160 · Jun 25, 2021 · national
Continuity (1)
Related Publication 20240286622A1 · Aug 29, 2024
References Cited (24)
US 6594579B1 · Lowrey et al. · 2003 [cited by applicant]
US 9272712B2 · Meyer · 2016 [cited by examiner]
US 11346678B2 · Trancik · 2022 [cited by examiner]
US 11731641B2 · Ewert · 2023 [cited by examiner]
US 20070174004A1 · Tenzer · 2007 [cited by examiner]
US 20070233364A1 · Kumar · 2007 [cited by applicant]
US 20160253924A1 · Kwak · 2016 [cited by examiner]
US 20200168012A1 · Boss · 2020 [cited by examiner]
US 20210129777A1 · Van Hoecke · 2021 [cited by examiner]
US 20220270413A1 · Barnes · 2022 [cited by examiner]
US 20220363272A1 · Jindal · 2022 [cited by examiner]
US 20230196855A1 · Bernico · 2023 [cited by examiner]
US 20240265455A1 · Raanan · 2024 [cited by examiner]
JP 2001188985A · 2001 [cited by applicant]
JP 200931046A · 2009 [cited by applicant]
JP 2011209011A · 2011 [cited by applicant]
JP 201283160A · 2012 [cited by applicant]
JP 5265567B2 · 2013 [cited by applicant]
JP 6369542B2 · 2018 [cited by applicant]
KR 101454115B1 · 2014 [cited by applicant]
WO 2016071993A1 · 2016 [cited by applicant]
WO 2021094911A1 · 2021 [cited by applicant]
Extended European search report dated May 15, 2024 in Application No. 22828030.1. [cited by applicant]
International Search Report for PCT/JP2022/015823, dated Jun. 21, 2022. [cited by applicant]