Skip to content
PCE
Search Classifications
Search for IPC and CPC classification codes or keywords
IPC Subgroup
B60W 20/11

using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance

Introduced: January 2016

Full Title

Control systems specially adapted for hybrid vehicles > Controlling the power contribution of each of the prime movers to meet required power demand > using model predictive control [MPC] strategies, i.e. control methods based on models predicting performance

Classification Context

Section:
PERFORMING OPERATIONS; TRANSPORTING
Class:
VEHICLES IN GENERAL
Subclass:
CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT

Additional Content

Glossary

MPC Model Predictive Control (MPC) - Control relying on one or more models of the drive train or vehicle sub-units, wherein the presently applied control signal is based on an optimal control signal computed over a future period of time. For example, the current status of the vehicle, e.g. vehicle dynamics or weight, torque at drive wheels, the driver input, e.g. accelerator pedal position, steering and the status of various sub-units, e.g. engine speed, motor torque, gear ratio engaged, clutch position or torque, temperature, battery charge state. These data are fed into the models. Based on this information, MPC simulates possible changes to the sub-units, e.g. changing engine speed or gear ratio, switching from series hybrid to parallel hybrid. The models may deliver several results. These results are analysed to determine the most suitable sub-unit status in order to arrive at a particular effect.

Limiting references

Control strategies based on data provided by conventional technology, e.g. optimum fuel consumption line Utilising navigation and traffic information in the control strategy

Top Applicants

Top 10 applicants by patent filingsfor class B60, 2013–2023, worldwide · Source: EPO PATSTAT

  1. TOYOTA MOTOR CORPORATION 28,052
  2. HYUNDAI MOTOR COMPANY KR 27,773
  3. FORD GLOBAL TECHNOLOGIES US 26,243
  4. KIA MOTORS CORPORATION KR 20,110
  5. ROBERT BOSCH DE 19,033
  6. TOYOTA MOTOR CORPORATION JP 17,924
  7. BMW (BAYERISCHE MOTOREN WERKE) DE 14,214
  8. HONDA MOTOR COMPANY 12,527
  9. AUDI DE 10,806
  10. GM GLOBAL TECHNOLOGY OPERATIONS US 10,336