Simulation optimization platform for composite micro-energy system

Abstract

The present invention discloses a simulation optimization platform for a composite micro-energy system, and belongs to the technical field of composite micro-energy simulation. A single simulation module for wireless sensor nodes, lithium batteries, super capacitors, solar cells, and piezoelectric generators is separately established, wherein the simulation module for the lithium batteries also integrates a capacity loss model of the lithium batteries, and a general object-oriented programming method is used to make a system model with great versatility and expansibility. Based on the single modules, a composite micro-energy system model is established, the simulation of environmental changes such as illumination, a wind speed, and the like is carried out, and the simulation mechanism of sensitive events of wireless sensor nodes satisfying the Poisson distribution is established and integrated into the simulation platform of the composite micro-energy system; the range of design parameters of each module that meets the system requirements is obtained; and on this basis, the life of the lithium battery is taken as the decisive factor of the system life, and aiming at extending the system life, the module parameters and energy management methods can be designed and optimized.

Description

technical field [0001] The invention belongs to the technical field of composite micro-energy simulation, in particular to a simulation optimization platform for a composite micro-energy system. Background technique [0002] Wireless sensor network (Wireless Sensor Network, WSN) is composed of a large number of wireless sensor nodes, widely used in military, aviation, transportation, explosion-proof, disaster relief, environmental monitoring, medical and health and other fields. Each wireless sensor node has the functions of information collection, signal processing and data transmission. Traditional wireless sensor nodes are only powered by batteries, which have the problems of short life and inconvenient battery replacement. The way to solve this problem is to obtain energy from the environment to supply power for wireless sensor nodes. The available environmental energy mainly includes solar energy, mechanical energy, thermal energy, electromagnetic energy, etc. [0003...

AI Technical Summary

Problems solved by technology

However, the simulation model does not consider the influence of factors such as environmental changes, sensitive events of sensor nodes, and lithium battery life loss. It is difficult to predict the actual system working conditions and lacks practicability.

In addition, this model can only be used for rough design optimization of the system, and cannot evaluate the impact of different parameters on the system life, so the optimization effect on the system is limited

[0005] At present, there is a lack of a composite micro-energy system simulation and optimization platform with strong versatility and practicability, which can simulate the impact of environmental changes, sensitive events and other factors on the system, and evaluate the service life of lithium batteries, so as to improve system parameters and energy management methods. Optimal design

Images