Hybrid vehicle team synergetic energy management method based on model prediction control

Abstract

The invention relates to a hybrid vehicle team synergetic energy management method based on model prediction control, and belongs to the field of the new-energy vehicles. The method comprises the following steps: S1, forming an internet of vehicles network architecture taking traffic lights as nodes by using the vehicle-vehicle communication and vehicle-road communication layer, thereby forming anupper framework; S2, selecting weight w1(t) and w3(t), and w2(t) and w4(t) in a cost function; S3, establishing a HEV model and a battery state of health(SOH) model in parallel; S4, determining the cost function and considering a battery ageing model; and S5, placing a result obtained through an upper controller in a lower controller, solving a multi-target optimization problem through an MPC, and finding the optimal torque distribution rate. The algorithm disclosed by the invention is low in algorithm complexity and good in feasibility; the battery ageing SOH model is considered in the costfunction, the new thought is provided for the energy management, and the more-fined energy management policy of the intelligent networked vehicle can be further realized.

Description

technical field [0001] The invention belongs to the field of new energy vehicles, and in particular relates to a model predictive control-based collaborative energy management method for a hybrid vehicle fleet. Background technique [0002] The energy waste and environmental pollution caused by traffic congestion in megacities need to be studied and solved urgently. At present, the speed of the network is getting faster and faster, and the Ministry of Industry and Information Technology has also begun to deploy 5G networks, which can ensure the speed of information exchange between vehicles and the external environment and realize real-time interaction of vehicle data. Obtain vehicle driving conditions, system operating status, surrounding road environment information, GPS (Global Position System) location and other information. The development of wireless technology is an important technical background for promoting the present invention. [0003] In recent years, many sc...

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Problems solved by technology

[0003] In recent years, many scholars have proposed many control methods for the energy management of a single HEV, such as: rule-based energy management strategies, global optimization-based energy management strategies (dynamic programming, genetic algorithm, particle swarm algorithm, etc.), instantaneous optimization-based Energy management strategy (ECMS), these models have one thing in common: they are all based on the energy management of a single hybrid vehicle, and there are few studies on the energy management scheme considering the coordination between multiple vehicles

Moreover, the current research mainly focuses on the energy management of single vehicles, such as SOC maintenance, fuel consumption rate minimization, etc., without considering the impact of battery aging SOH in the process

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