Hybrid energy management strategy global optimization system based on large database

Abstract

The invention discloses a hybrid energy management strategy global optimization system based on a large database, and the system comprises a remote database module and a vehicle terminal. The vehicleterminal comprises a data acquisition module, a to-be-processed data storage module, a hybrid vehicle controller, a central processor module, and a personalized data storage module. The data acquisition module includes a GPS module, an accelerator pedal position acquisition module, a brake pedal position acquisition module, a steering torque acquisition module, a transmission gear acquisition module, a six-axis sensor module, an engine operation parameter acquisition module, and a battery charge state acquisition module. The system makes comprehensive use of the IOV (Internet of Vehicles) technology, the sensor technology and the GPS technology, which develop rapidly nowadays. An all-region road condition information large database is built rapidly through the driving information contribution of each vehicle with the system.

Description

technical field [0001] The invention belongs to the field of modern traffic technology, and relates to a system for predicting driving conditions of a hybrid electric vehicle and globally optimizing an energy management strategy, and more specifically relates to a system for globally optimizing a hybrid energy management strategy based on a large database. Background technique [0002] Facing the pressure of energy and environment, it is imperative to develop energy-saving and new energy vehicles. Due to its high fuel economy and low emissions, hybrid vehicles have become an important way for major automobile manufacturers to enter the field of new energy vehicles. The energy management control strategy of hybrid electric vehicles has a decisive impact on the realization of its high efficiency and low emissions, so it has become the soul and core technology of the vehicle. At present, the energy management strategies of hybrid electric vehicles are mainly divided into three...

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Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art, aiming at the problem that the current entire travel conditions are difficult to predict and the global optimization cannot be realized, a hybrid power energy management strategy global optimization system based on a large database is proposed. Utilizing the current rapid development of Internet of Vehicles technology, sensor technology, and GPS technology, through the contribution of driving information of each vehicle equipped with the system, a large database of road condition information covering the entire region is quickly established. In addition, by collecting driving information, Realize Self-learning of driver preferences, so that before the start of the journey, the working conditions of the entire journey can be predicted through a large database, combined with driver preference correction, to achieve global optimization of hybrid energy control to achieve better fuel economy and emissions sex

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