Management and control method of hybrid electric vehicle based on digital twinning technology

Abstract

The invention relates to a management and control method of a hybrid electric vehicle based on a digital twinning technology. According to the method, a hybrid electric vehicle digital twinning cloudvirtual model matched with a physical entity (hybrid electric vehicle) is built on a cloud simulation platform based on a digital twinning technology, and the simulation working environment of the hybrid electric vehicle digital twinning cloud virtual model is configured to be consistent with the actual working environment of the physical entity; a digital twin cloud storage computing platform dynamically collects physical data generated by operation of the physical entity and virtual data generated by operation of the cloud virtual model in real time and then performs data analysis and fusionprocessing; the data processing result is compared with the current hybrid electric vehicle operation data in real time to update the attribute characteristics of the cloud virtual model in real timeand obtain an optimal control strategy corresponding to the latest model based on the calibration performance and the current state of the physical entity in combination with the cloud online simulation technology, and the optimal control strategy is input into the physical entity to automatically change the operation control of the hybrid electric vehicle, thereby integrally achieving dynamic optimal control.

Description

technical field [0001] The invention relates to the technical field of management and control of hybrid electric vehicles, in particular to a management and control method for hybrid electric vehicles based on digital twin technology. Background technique [0002] A hybrid vehicle is equipped with an engine and an electric motor as a driving source for driving the vehicle. Unlike pure electric vehicles, which are limited by the performance of the power battery, the mileage is limited. Hybrid vehicles can satisfy human daily life like traditional fuel vehicles. Travel needs. Modern hybrid vehicles mainly use the engine to burn fossil fuels (gasoline, diesel, compressed natural gas, etc.) or other types of fuel as a power source, and use batteries (fuel cells, super capacitors, etc.) The vehicle provides power to drive the vehicle. As a complex multidisciplinary product, the hybrid electric vehicle integrates many basic disciplines such as materials, machinery, electricity, ...

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a digital-based system for the problems of low work efficiency, untimely management and control, inability to detect and warn some potential dangers in advance, and inability to manage and control hybrid vehicles in real time in the traditional method by adding a special vehicle management system. The management and control method of hybrid electric vehicles based on twin technology, which innovatively introduces digital twin technology, and builds a hybrid electric vehicle digital twin cloud virtual model that is completely consistent with hybrid electric vehicles, respectively in the actual working environment and the simulated working environment. Synchronously monitor the operating data of the two hybrid electric vehicle systems, collect, analyze and process the operating data of the two systems, dynamically monitor the operating data of the two systems, and dynamically update the digital twin cloud virtual model of the hybrid electric vehicle to obtain the optimal control strategy , to achieve dynamic management and control of the running state of the hybrid vehicle, effectively improving the overall performance and efficiency of the vehicle

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