Energy management method for hybrid ships based on model predictive control

A technology of model predictive control and hybrid power, applied in the direction of propulsion-based emission reduction, ship propulsion, adaptive control, etc., can solve problems such as inability to cope with dynamic changes, small amount of calculation, and inapplicability

Inactive Publication Date: 2018-03-02
SHANGHAI MARITIME UNIVERSITY
View PDF6 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The energy optimization control problem of a hybrid ship has the characteristics of multi-objective, multi-constraint, and nonlinearity, and the rule-based control method cannot cope with various operating conditions and dynamic changes in actual ship load requirements, that is, insufficient adaptability, and cannot achieve optimal control ; The method based on global optimization requires knowing all the parameters in the driving process in advance and has a large amount of calculation, so it cannot be applied in the real-time control of the ship; relatively speaking, the control strategy based on instantaneous optimization does not need to obtain the working condition data of the ship in the future , is not constrained by a given cycle condition, the amount of calculation is small, and it is easy to implement

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
  • Energy management method for hybrid ships based on model predictive control
  • Energy management method for hybrid ships based on model predictive control
  • Energy management method for hybrid ships based on model predictive control

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] Step 1, obtain such as figure 1 The current k-time demand power P of the hybrid ship with the structure shown d (k) and battery SOC and other states;

[0053] Step 2. Predict the power demand of ships in the future k+p time domain according to the prediction model at the current k moment;

[0054] Such as figure 2 As shown in the schematic diagram of model predictive control, the predictive model adopted in the present invention is a Markov model. At first, the future power of the ship is regarded as a probability distribution, and a random Markov model is established, and the probability distribution of the future power demand of the ship It can be extracted and summarized from the ship's historical voyage data. First, the ship power is discretized into a finite number of integer values ​​(approximately representing continuous power changes), let T be the set of ship load power, then define T={z 1 ,z 2 ,…z s}, the ship load power prediction model based on the Ma...

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

In view of the problem that it is difficult to achieve real-time optimal control for the traditional hybrid ship control method, the invention presents an energy management method for hybrid ships based on model predictive control by adopting the idea of model predictive control. A Markov model is selected to predict the demanded power of a hybrid ship, and power distribution is optimized with theobjective of minimum fuel consumption in the prediction horizon by using a dynamic programming method based on the principle of model predictive control. The energy management method can improve thefuel economy of hybrid ships, and has good real-time performance.

Description

technical field [0001] The invention relates to the field of energy management of hybrid ships, in particular to an energy management method of hybrid ships based on model predictive control. Background technique [0002] The key technology of a hybrid ship is its energy management method. The purpose is to rationally allocate and coordinate control of various energy sources under the premise of satisfying the ship's dynamic performance, so that each component can operate efficiently. At present, the common energy management methods of hybrid ships at home and abroad mainly include rule-based control methods, including deterministic rule-based control and fuzzy logic control, optimization-based control, including global optimal control and instantaneous optimal control, and intelligent methods. , such as neural network model control, strategies based on genetic algorithms or optimal control algorithms, dynamic programming, etc. The energy optimization control problem of a h...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04B63H21/20B63H21/17
CPCB63H21/17B63H21/20G05B13/048Y02T70/5236
Inventor 张伟高迪驹刘志全潘海邦
Owner SHANGHAI MARITIME UNIVERSITY
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap