Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method

A multi-objective optimization, double-layer optimization technology, applied to internal combustion piston engines, mechanical equipment, hybrid vehicles, etc., can solve problems such as non-derivability and discontinuity

Active Publication Date: 2018-09-14
HEFEI UNIV OF TECH
View PDF6 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the optimization problem of ECMS is a discontinuous, non-conductive multi-objective optimization problem with inner and outer layer nesting. At present, there is no use of multi-objective intelligent bionic algorithm to optimize the charging and discharging equivalent factors and power distribution methods at the same time. Research

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
  • Inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method
  • Inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method
  • Inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In this embodiment, a multi-objective double-layer optimization method of an equivalent fuel consumption minimum energy management strategy nested inside and outside is as follows: figure 2 As shown, it proceeds as follows:

[0063] Step 1, establish the multi-objective optimization model of plug-in hybrid electric vehicle;

[0064] Step 1.1. According to the vehicle power and transmission system parameters, as shown in Table 1, establish a vehicle longitudinal dynamics model on the Matlab / Simulink platform. This model mainly calculates the vehicle speed, acceleration, engine rotational angular velocity;

[0065] Table 1 Power and Transmission System Parameters

[0066]

[0067]

[0068]

[0069]

[0070] In formula (1), (2), (3): T ω Torque required for driving the vehicle; T e is the engine output torque; T m is the output torque of the motor; T brake is the friction braking torque; i 0 transmission ratio of the main reducer; i g is the transmissi...

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 an inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method. The inner and outer layer nesting ECMS multi-objective double-layer optimization method includes steps of building multi-objective optimization models of plug-in hybrid electric vehicles; solving the multi-objective optimization modelsby the aid of inner and outer layer nesting multi-objective particle swarm algorithms to obtain multi-objective optimized Pareto solution set front edges; weighting equivalent fuel consumption per hundred kilometers and variation ranges of deviation of SOC (state of charge) final values and target values, building total evaluation functions related to the equivalent fuel consumption per hundred kilometers and SOC deviation and selecting the optimal charge and discharge equivalent factors and engine and motor power distribution modes corresponding to the optimal charge and discharge equivalentfactors. The inner and outer layer nesting ECMS multi-objective double-layer optimization method has the advantages that output power of engines and motors of the plug-in hybrid electric vehicles canbe reasonably distributed at CS (charge sustaining) stages, so that fuel consumption can be reduced as much as possible, battery SOC balance still can be effectively kept, and the fuel economy of theintegral vehicles can be improved.

Description

technical field [0001] The invention relates to a multi-objective double-layer optimization method of an equivalent fuel consumption minimum energy management strategy nested with inner and outer layers, and belongs to the technical field of new energy vehicle control. Background technique [0002] The control idea of ​​equivalent fuel consumption minimization strategy (ECMS) is: according to the actual power requested by the driver of the vehicle, the actual output power of the engine and the motor is reasonably distributed within the power range of the engine and the motor, so that the engine instantaneous fuel consumption rate Equivalent fuel consumption rate of electric motor consumption The sum of is the smallest, as expressed by formulas (1) and (2): [0003] [0004] [0005] In the formula: is the total fuel consumption rate of the system at time t; is the instantaneous fuel consumption of the engine at time t, which can be obtained from the established...

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): B60W20/11B60W20/15
CPCB60W20/11B60W20/15Y02T10/40
Inventor 仇多洋李团团石琴王楠楠
Owner HEFEI UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products