Equivalent Consumption Minimization Strategy of Hybrid Electric Vehicle Integrated with Driving Cycle Prediction Method

Hybrid electric vehicles that can combine the advantages of traditional and new energy have become optimal choice at present in face increasingly stringent fuel consumption restrictions emission regulations. Range-extended hybrid an important research topic because their high mixing degree simple transmission system. A compact vehicle is object this study range-extended system developed. The design optimization condition prediction management strategy are investigated. Vehicle joint simulation analysis bench test platforms were built to verify proposed control strategy. tracking method was selected collect real driving data. number field view estimation distances between front following calculated by means mature algorithm monocular camera computer vision. Real cycle conditions with environment slope information constructed compared all data, typical working under NEDC, UDDS. BP neural network fuzzy logic used identify road driver’s intention. results showed equivalent lower than fixed-point power economy improved.