Residual electric quantity prediction system and method for electric bus

Abstract

The invention relates to a residual electric quantity prediction system and method for an electric bus. The system comprises a vehicle instrument console, a vehicle monitoring terminal and a monitoring server. The vehicle instrument console comprises a prediction request key and an instrument display screen, the prediction request key is used for sending a residual electric quantity prediction request, and the instrument display screen is used for displaying an obtained prediction result; the monitoring terminal is used for collecting and uploading operation data, receiving a prediction request from a vehicle instrument operation desk, sending the prediction request to the monitoring server, receiving a prediction result from the monitoring server and transmitting the prediction result tothe vehicle instrument operation desk; and the monitoring server is used for receiving the operation data and the prediction request uploaded by the monitoring terminal, counting and analyzing the power consumption and the state information, importing the state information into the model to realize power consumption prediction, and replying a prediction result to the monitoring terminal. The residual electric quantity of the bus can be accurately predicted, a driver is assisted in planning charging arrangement, and the power consumption anxiety of the driver is relieved.

Description

technical field [0001] The invention relates to the field of control, in particular to a system and method for predicting the remaining power of an electric bus. Background technique [0002] With the development of new energy technology, new energy vehicle technology is also developing rapidly. In the next few decades, vehicles in many countries and regions will be covered by new energy vehicles on a large scale. Widely used in urban public transport systems. Electric buses have the characteristics of fixed running routes and fixed charging locations. Since it is not possible to stop and charge at will on the bus route, the driver needs to evaluate whether the current remaining battery capacity of the vehicle can meet the next operating cycle before departure, and ensure that the route is completed and the charging point is reached, otherwise the battery needs to be replenished before departure. However, under the influence of different road conditions, vehicle conditions...

AI Technical Summary

Problems solved by technology

However, under the influence of different road conditions, vehicle conditions, natural environment, driving behavior, etc., even for the same bus route, the power consumption is quite different. It is difficult to estimate the remaining power by relying on the driver's experience. Factors to accurately predict the remaining battery power is an urgent problem to be solved

[0003] In the current practical application, the vehicle controller mainly calculates the total remaining mileage supported by the vehicle power battery, and provides a reference for the driver through the instrument display, but the mileage does not give the driver an intuitive expectation of whether the next operation can be completed route

At the same time, the cruising range is obtained by converting the average power consumption of the vehicle in the past period of time, and the remaining cruising range cannot be accurately predicted by considering various influencing factors

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