Battery cost and charging cost optimization method and application

Abstract

In order to solve the deficiencies of the prior art, the present invention provides a battery cost and charging cost optimization method and application, including: constructing an optimization model, establishing an objective function and constraint conditions; Consumption model; use the particle swarm algorithm with linearly decreasing inertia weight, use speed, acceleration data and actual operation scene to set parameters, combine the energy consumption model to obtain energy consumption; use the optimization model to optimize the energy consumption, set The time-of-use electricity price is used as a parameter, and the charging cost is used as a fitness function to optimize the solution to obtain an optimized charging strategy and charging cost. Then with the total cost as the objective function, the optimized battery cost and the total cost are obtained. The invention uses the wireless charging technology, uses the time-of-use electricity price to guide the charging, and builds a detailed energy consumption model to make the remaining battery power more accurate, and also improves the accuracy of the optimization result.

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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