Hybrid electric vehicle energy management method based on traffic information

Abstract

The invention relates to a hybrid electric vehicle energy management method based on traffic information. The method comprises a traffic information data acquisition step, a driving condition information prediction step and a required power calculation and distribution step. Traffic information obtained by an intelligent traffic system is used in energy management of a hybrid electric vehicle, excellent distribution of power between different power sources is achieved, and fuel economy and tail gas emission performance of the vehicle are improved. Hybrid electric vehicle energy optimization control is carried out by adopting a layered structure design, vehicle demand power is more efficiently calculated, and excellent control is realized; future driving condition information of the vehicleis predicted by using a Markov chain algorithm based on a network connection environment so as to obtain the optimal required power of the vehicle; and a lower-layer controller based on a global dynamic programming algorithm is adopted to control a state of charge SOC and a state of energy SOE of a power battery within a preset reasonable range, and optimal control of vehicle energy management iscarried out.

Description

technical field [0001] The invention belongs to the technical field of hybrid electric vehicle control, and in particular relates to an energy management method for a hybrid electric vehicle based on traffic information. Background technique [0002] Rising fuel prices and pollutant emissions, as well as increasing concerns about global warming, have led to the transition from conventional vehicles to electric vehicles, and hybrid vehicles are a crucial outcome of this process, which plays a key role in improving fuel economy and reducing pollution. plays an indispensable role in the emission of pollutants. Since there are two or more power sources in hybrid electric vehicles, it is extremely important how energy is distributed between the engine and the battery during the entire driving process. An excellent energy management strategy directly determines the better fuel economy of hybrid electric vehicles performance while reducing or eliminating exhaust emissions. In rec...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that the optimal energy management of hybrid electric vehicles cannot be realized in the above-mentioned prior art, the present invention provides a method for energy management of hybrid electric vehicles based on traffic information. In the energy management of automobiles, excellent distribution of power between different power sources can be achieved, thereby improving the fuel economy and exhaust emission performance of the vehicle; the hierarchical structure design is used for energy optimization control of hybrid electric vehicles, which can calculate more efficiently Vehicle demand power to achieve excellent control; based on the network environment, use the Markov chain algorithm to predict the future speed, acceleration and road slope sequence traffic information of the car, so as to obtain the optimal demand power of the vehicle; use the global dynamic programming algorithm based The lower-level controller not only considers optimizing the fuel economy of the vehicle, but also optimizes the exhaust emission performance; through the global dynamic programming algorithm of the lower-level controller, the state of charge SOC and energy state SOE of the power battery are controlled at preset reasonable levels Optimal control of vehicle energy management within the range

Images