Method for distinguishing working conditions and managing and controlling energy of plug-in hybrid electric vehicle

A technology for hybrid electric vehicle and working condition recognition, which is applied in the direction of hybrid electric vehicle, motor vehicle, control device, etc., can solve the problem that the excellent performance of HEV cannot be fully exerted.

Inactive Publication Date: 2014-10-01
FUZHOU UNIV
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  • Claims
  • Application Information

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Problems solved by technology

The control strategy research is only carried out by analyzing the operating conditions with some ty

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  • Method for distinguishing working conditions and managing and controlling energy of plug-in hybrid electric vehicle
  • Method for distinguishing working conditions and managing and controlling energy of plug-in hybrid electric vehicle
  • Method for distinguishing working conditions and managing and controlling energy of plug-in hybrid electric vehicle

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Embodiment Construction

[0038] In order to make the above-mentioned features and advantages of the present invention more comprehensible, the following specific embodiments are described in detail with reference to the accompanying drawings.

[0039] The present invention relates to a method for identification of working conditions and energy management and control of a plug-in hybrid electric vehicle, and provides a driving system for a plug-in hybrid electric vehicle. figure 1 , the system includes: drive motor 1, high-voltage battery pack 2, charging plug 3, inverter 4, electronically controlled clutch 5, integrated starter generator integrated motor ISG6, dual-clutch automatic transmission 7, front axle shaft 8, front axle Main reducer-differential 9, front wheel 10, controller connection line 11, mechanical connection 12, engine 13, vehicle monitoring and control system 14, cable 15, rear axle main reducer-differential 16, rear axle Half shaft 17, rear wheel 18, wherein: the engine 13 is mechanica...

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Abstract

The invention relates to a method for distinguishing working conditions and managing and controlling the energy of a plug-in hybrid electric vehicle. The method disclosed by the invention mainly comprises two parts of a method for distinguishing the working condition and a method for managing and controlling the energy. For the working condition distinguishing part, a support vector machine (SVM) model is adopted for training and studying the characteristic parameters of the working conditions so as to distinguish real-time working conditions; for the energy managing and controlling part, a fuzzy rule is formulated. Through the method for distinguishing the working conditions and managing and controlling the energy, and on the premise of ensuring power performance, the fuel economy of the vehicle can be markedly improved, and the energy conservation and emission reduction can be realized.

Description

technical field [0001] The invention relates to a method for working condition identification and energy management and control of a plug-in hybrid electric vehicle, which is applied to the hybrid electric vehicle. Background technique [0002] The control goal of hybrid electric vehicles is to make the engine run along the best fuel economy curve, and at the same time make the electric motor work at high efficiency as much as possible, so as to realize the efficient use of energy and achieve the goal of energy saving and emission reduction. The Toyota Prius hybrid vehicle can make the engine run along the best fuel economy curve, but because it uses a planetary gear power distribution mechanism, the mechanism is complex and requires high control accuracy, and its versatility is not strong. In 2007, P. Sharer et al. used PSAT software to establish Toyota Prius and Ford Focus car models. By introducing an operating condition multiplier to establish different operating conditi...

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Application Information

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IPC IPC(8): B60W50/00B60W40/105B60W40/00B60W20/00B60W10/06B60K17/04B60W10/08B60W10/26B60W20/10
CPCB60K17/04B60W10/06B60W20/15B60W40/00B60W40/105B60W50/00Y02T10/40
Inventor 林歆悠冯其高张少博薛瑞
Owner FUZHOU UNIV
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