Locomotive energy consumption intelligent prediction method and system

• Main Authors: YAN GUANGXI, YU CHENGQING, ZHANG DEZHI, LIU HUI, CAO ZIJIE, XIA YU
• Format: Patent
• Language: Chinese; English
• Published: 20.04.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a locomotive energy consumption intelligent prediction method and system, and comprehensively considers factors in multiple aspects such as a running speed energy consumption value, a running speed, a locomotive running gear, road slope loss power, rainfall resistance, road ponding resistance, wind resistance energy consumption, accumulated snow energy consumption and temperature energy consumption at a stable running speed of a locomotive; weight fusion is carried out by using various intelligent prediction models and optimization algorithms, and an effective traction mode conversion model is established to carry out energy consumption analysis and prediction, so that the effectiveness of energy consumption strategy selection and real-time instruction adjustment is ensured. 本发明公开了一种机车能耗智能预测方法及系统，综合考虑了机车稳定的行驶速度下行驶速度能耗值、行驶速度、机车行驶档位、道路坡度损耗功率以及降雨阻力、道路积水阻力，风阻能耗，积雪能耗，温度能耗等多方面因素，并且利用各种智能预测模型及优化算法进行权重融合，建立有效牵引模式转换模型来进行能耗分析和预测，保证了能耗策略选择以及实时调整指令的有效性。