Hybrid electric vehicle energy management method and system based on road condition forecast

Abstract

The invention provides a hybrid electric vehicle energy management method based on road condition forecast. The method comprises the following steps: determining a key parameter threshold value of energy management on the basis of the planned route information, wherein the key parameter threshold value comprises a battery SOC minimum value, a battery SOC maximum, hybrid state pure electric drivinghighest vehicle speed, engine lowest torque coefficient and engine working condition point transfer torque coefficient; and obtaining motor torque, battery power and engine torque based on the key parameter threshold value and the preset control strategy for power system energy management. The invention also provides a hybrid electric vehicle energy management system based on road condition forecast. The original key parameter threshold value of the vehicle is adjusted on the basis of the forecast road condition information, so that in the actual use process, the fuel economy of an intelligent connected hybrid power automobile can be improved.

Description

technical field [0001] The invention relates to an energy management system for a hybrid electric vehicle, in particular to an energy management method and system for a hybrid electric vehicle based on road condition prediction. Background technique [0002] With the rapid development of automobile power systems, the proportion of "electrification" in automobile power is getting higher and higher, and hybrid power has become one of the most effective technologies to solve the problem of reducing fuel consumption. Hybrid technology increases the power source of the vehicle and increases the flexibility of energy management. With the development of Internet of Vehicles and intelligent connected vehicles, energy management technology based on road condition prediction has gradually attracted attention. [0003] However, the current hybrid energy management system based on prediction is mainly realized through a certain hardware system and software algorithm. The algorithm is m...

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Problems solved by technology

[0003] However, the current hybrid energy management system based on prediction is mainly realized through a certain hardware system and software algorithm. The algorithm is mainly used to plan the SOC. The hybrid energy consumption control strategy involves multiple parameters. It is difficult to realize only the planning of the SOC. optimal fuel economy

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