Economic charging method for electric bus charging station

Abstract

The invention discloses an economic charging method for an electric bus charging station. The method relates to the field of electric bus economic charging methods, and comprises the following steps:S1, identifying battery information of each bus based on charging record information of a charging cloud platform according to a bus travel and maintenance scheduling plan, including capacity, charging and discharging characteristic parameters and journey power consumption characteristics; S2, simulating uncertainty of bus departure time by adopting a Monte Carlo method, wherein the departure timeis randomly distributed in a departure interval before the planned departure time and in a departure interval after the planned departure time; and S3, in each Monte Carlo sampling simulation, constructing an optimization model according to the following formula A to solve the charging power of the vehicle in each time period. According to the invention, the upper limit of the state of charge atdifferent time periods can be optimized, calculated and set to guide the charging amount of each vehicle at each time period, and the all-day power purchase cost of the bus station is reduced.

Description

technical field [0001] The invention relates to the field of economical charging methods for electric buses, in particular to an economical charging method for electric bus charging stations. Background technique [0002] Buses generally have relatively fixed travel routes and travel time, so their daily power consumption is relatively stable. In addition, since many bus charging stations purchase electricity from the power grid company using the time-of-use electricity price billing model, the electricity purchase cost for charging at different times is very different. Due to the difference in the number of charging piles at the bus charging station, the capacity of the bus battery, and the one-way power consumption of the bus, it is impossible to guarantee that all the cars will be charged at the moment when the electricity price is the lowest to meet the needs of all-day operation. Therefore, it is necessary to use an optimization algorithm to Calculate the appropriate c...

AI Technical Summary

Problems solved by technology

[0003] When the time of departure and arrival of the bus is fixed, and the power consumption of each vehicle is fixed, the charging start time and optimal charging amount of the vehicle can be allocated through optimal calculation. There is always a difference in time, and the theoretical optimization results in actual operation are difficult to apply in practice

In addition, due to cost considerations, bus charging stations will not be equipped with dedicated operation and maintenance engineers to monitor and timely modify the charging strategy of each vehicle, and vehicles often need to be charged for a period of time before they can obtain the frame from the battery management system Therefore, it is difficult to apply the charging strategy for each vehicle in practice, and it is not feasible to dynamically modify the state of charge limit for charging the vehicle on each charging pile.

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