Plug-in hybrid electric vehicle model reference adaptive optimal energy management method

An energy management and self-adaptive technology, applied to hybrid vehicles, electric vehicle charging technology, motor vehicles, etc., can solve problems such as incompatibility of architecture and large amount of calculation, and achieve good compatibility, small amount of calculation, and increased robustness sexual effect

Active Publication Date: 2020-11-20
JILIN UNIV
View PDF10 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (2) The ECMS algorithm needs to obtain the Hamilton function, which requires a large amount of cal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Plug-in hybrid electric vehicle model reference adaptive optimal energy management method
  • Plug-in hybrid electric vehicle model reference adaptive optimal energy management method
  • Plug-in hybrid electric vehicle model reference adaptive optimal energy management method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0035] figure 1It is a parallel PHEV energy management system and hardware structure. The PHEV power system in this embodiment consists of an engine, an engine control system (Engine Control System, ECS), a motor, a motor control system (Motor Control System, MCS), a battery, a battery management system (Battery Management System, BMS), a gearbox and transmission shaft etc. Among them, the motor is coaxially installed on the input shaft of the gearbox, forming a coaxial parallel configuration. The power battery can be charged by an external charger, that is, a plug-in hybrid system. The PHEV is equipped with a vehicle-mounted GPS navigation system, an intelligent transportation system (ITS), a geographic information system (GIS), and a weather forecast system (Weather Report System, WRS). Through the information fusion processor, the required road information will be obtained from the above systems, and the information will be collected, stored, cleaned and format aligned, ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a PHEV adaptive optimization energy management control method based on driving condition prediction, and the method comprises the steps: obtaining future path information through an intelligent traffic system and a vehicle-mounted navigation system, and generating an energy consumption equivalent prediction condition of a future path; establishing a reference ECMS control model, and searching for an optimal ECMS equivalent factor lambda opt and a reference SOCref by taking the energy consumption equivalent prediction working condition as input and taking the lowest oilconsumption as an optimization target; on the basis of the optimal equivalent factor lambda opt and a reference SOCref, correcting the optimal equivalent factor lambda opt according to the actual SOCand the reference SOCref under the actual driving working condition to form a self-adaptive ECMS control model, and calculating the engine torque and the motor torque with optimal oil consumption; andtransmitting the target torques of the engine and the motor and a switching instruction to a bottom layer controller, and distributing the power of the whole vehicle to realize PHEV energy managementand control.

Description

technical field [0001] The invention relates to a vehicle control and energy management method for a plug-in parallel hybrid electric vehicle, in particular to a plug-in parallel hybrid electric vehicle model reference self-adaptive optimal energy management method based on driving condition prediction, which belongs to the new Energy vehicle control technology field. Background technique [0002] With the shortage of fossil energy, the aggravation of environmental pollution and the urgent need for energy conservation and emission reduction, the development of new energy vehicles has received more and more attention. As a member of the field of new energy vehicles, plug-in hybrid electric vehicles (Plug-in Hybrid Electric Vehicles, PHEV) have the advantages of both hybrid electric vehicles (Hybrid Electric Vehicles, HEV) and pure electric vehicles (Blade Electric Vehicles, BEV) much attention. When the battery pack is fully charged, PHEVs adopt the Charge Depleting (CD) mo...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B60W20/11B60W20/12B60W20/15
CPCB60W20/11B60W20/12B60W20/15Y02T10/84Y02T90/14
Inventor 郭建华姜宇刘康杰刘翠文英杰侯卓然聂荣真
Owner JILIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products