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Collaborative optimization energy management method of parallel hybrid electric vehicle

A hybrid electric vehicle and collaborative optimization technology, applied in hybrid electric vehicles, motor vehicles, data processing and management, etc., can solve a large number of floating-point calculations, poor real-time performance and other problems

Active Publication Date: 2020-08-18
SHANGHAI INST OF TECH
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  • Description
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  • Application Information

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Problems solved by technology

But it requires a lot of floating-point calculations, and the real-time performance is relatively poor. A dynamic programming theory is applied to internal combustion engine vehicles and optimized to increase the fuel economy of the vehicle by 2%-3%.

Method used

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  • Collaborative optimization energy management method of parallel hybrid electric vehicle
  • Collaborative optimization energy management method of parallel hybrid electric vehicle
  • Collaborative optimization energy management method of parallel hybrid electric vehicle

Examples

Experimental program
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Embodiment

[0094] 1) Parallel hybrid vehicle model parameters The vehicle mass is 1350 kg, the air resistance coefficient CD=0.335, the windward area FA=2.0 square meters, the wheel rolling radius Rr=0.282m, the rolling damping coefficient f=0.009, and the average transmission efficiency ηt=0.85 .

[0095] 2) Parallel hybrid electric vehicle engine model: parameters: model is FC_SI41_emis, maximum power / speed=41kw / 5700r.min-1. Maximum torque / speed = 81N.m / 3500r.min-1.

[0096] 3) Parallel hybrid electric vehicle motor model parameters: model is MC_AC75, rated power PN=75kw, rated speed nN=2000r / min, maximum speed nmax=10000r / min, average efficiency 0.92.

[0097] 4) Parallel hybrid electric vehicle battery model Ni-MH battery parameters: the model is ESS_NIMH28_OVONIC, the standard discharge capacity is 28Ah, and the number of battery blocks is 50.

[0098] Furthermore, after the hybrid vehicle model is established, the collaborative optimization energy management system is established...

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Abstract

The invention discloses a collaborative optimization energy management method of a parallel hybrid electric vehicle. The problem that the existing energy management control cannot meet the requirements of two aspects of real-time application and global optimization at the same time can be better solved; the advantages of dynamic planning and fuzzy control are combined; the invention further provides an off-line optimization decision support system, a globally optimal torque distribution strategy and a battery SOC trajectory are used as guidance, the optimal performance of a real-time controller is improved, a membership function and a fuzzy rule of a fuzzy controller are improved, and a high-performance real-time control strategy is obtained.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicle control, in particular to a collaborative optimization energy management method for parallel hybrid electric vehicles. Background technique [0002] Environmental pollution and energy crisis are two major challenges facing the sustainable development of human society. Hybrid electric vehicles (HEVs) with multiple power sources can reduce fuel consumption and emissions, effectively solving the above problems. Energy Management Strategy (EMS) is a key technology in HEV research. Investigate how to distribute the required power between sources to achieve an optimal energy distribution, resulting in lower fuel consumption and reduced emissions. According to the basic real-time requirements of the vehicle, designing the optimal EMS needs to meet the real-time requirements of the control algorithm and the requirements of vehicle performance optimization. [0003] The current research ...

Claims

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Application Information

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IPC IPC(8): B60W20/15B60W20/11
CPCB60W20/15B60W20/11B60W2510/244Y02T10/84
Inventor 张谦马向华吴佳峰
Owner SHANGHAI INST OF TECH
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