Battery cost and charging cost optimization method and application thereof

Abstract

In order to solve the defects in the prior art, the invention provides a battery cost and charging cost optimization method and application thereof. The method comprises the following steps: constructing an optimization model, and building an objective function and constraint conditions; constructing a wireless charging energy consumption model on the premise of considering additional energy consumption; adopting a particle swarm algorithm of linear decreasing inertia weight, setting parameters by utilizing speed and acceleration data and an actual operation scene, and combining with the energy consumption model to obtain energy consumption; optimizing the energy consumption by using the optimization model, setting time-of-use electricity price as a parameter, setting the charging cost as a fitness function, and carrying out optimization solution to obtain an optimized charging strategy and the charging cost; and taking the total cost as a target function to obtain optimized battery cost and total cost. The wireless charging technology is used, charging is guided through the time-of-use electricity price, and the detailed energy consumption model is constructed, so that the remaining capacity of the battery is more accurate, and the accuracy of an optimization result is also improved.

Description

technical field [0001] The invention relates to the technical field of system optimization, in particular to a battery cost and charging cost optimization method and application. Background technique [0002] Traditional electric vehicles mostly use "plug-in" charging, and wireless charging electric vehicles have attracted much attention in recent years. The application of wireless charging technology in electric vehicles is mainly divided into two modes: dynamic charging and static charging. The static charging mode wirelessly charges the electric vehicle when it is parked in the parking space. The dynamic charging mode is the energy transfer between the electric vehicle and the charging track buried under the road without physical connection during driving, which can effectively eliminate battery anxiety and reduce battery specifications during driving. The cost of wireless charging electric buses mainly includes: charging track cost, battery cost, and charging cost. ...

AI Technical Summary

Problems solved by technology

[0003] In terms of wireless charging cost optimization, the current research is mainly aimed at the optimization of wireless charging track and battery cost. The Korea Advanced Institute of Science and Technology has successively proposed the charging track cost and battery cost for single-route and multi-route mixed wireless charging buses. However, there is no detailed explanation of the energy consumption model in the above research methods, and there is a lack of research on the optimization of charging costs; at the same time, although there are many studies on orderly charging strategies guided by time-of-use electricity prices, the charging model Both are "plug-in" charging, need to stop service when charging, and do not consider the impact of battery capacity on the total cost

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