Hybrid car energy-saving prediction control method based on road gradient information

A hybrid vehicle, road gradient technology, applied in hybrid vehicles, motor vehicles, control devices, etc., can solve problems such as maximization of efficiency, inability to meet control performance, and impact of changes

Inactive Publication Date: 2015-04-29
HENAN POLYTECHNIC UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

The traditional global optimal control algorithm dynamic programming and Pontryagin minimum principle control methods cannot achieve real-time optimal control because they need to know all future working conditions in advance.
Traditional rule-based control strategies fail to maxim

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  • Hybrid car energy-saving prediction control method based on road gradient information
  • Hybrid car energy-saving prediction control method based on road gradient information
  • Hybrid car energy-saving prediction control method based on road gradient information

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[0056] Example: Take the planetary gear type hybrid hybrid drive system as an example for illustration, such as figure 1 As shown; the first step of the method of the present invention is information collection, the second step is vehicle modeling, the third step is formulating control strategies, the fourth step is online optimal control, the fifth step is weight parameter adjustment, and the sixth step is Whether the target meets the judgment; includes the following steps:

[0057] The principle of the method is as figure 2 As shown, the specific control method includes the following steps:

[0058] Step 1) Information collection: GPS and Google map collect vehicle location information, actual road location information, altitude and terrain information as real-time vehicle status feedback. The vehicle-mounted radar speed measuring device collects the speed of the preceding vehicle for tracking control. The Kalman filter uses the collected battery 4 information to estimate the...

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Abstract

The invention relates to a hybrid car energy-saving prediction control method based on road gradient information. The method comprises the steps of acquiring real road position information, altitude and terrain information by virtue of a google map as system input, and establishing a real road gradient model; establishing a system dynamics model, and decoupling the system dynamics model to obtain an independent three-degree-of-freedom system model; embedding the real road gradient model to a hybrid car dynamics state space model to obtain a system mathematic model; realizing a control method by adopting a model prediction control theory, solving an optimum control problem by utilizing a numerical value simulation solution, adjusting and optimizing the energy flow of the hybrid car in an online mode according to the real car driving condition to obtain the optimum performance of a hybrid car system, adopting a planetary gear mechanism as an electronic stepless speed changer, enabling an engine to work at an optimum work site, and predicting a target storage battery charge state by utilizing road gradient information. The energy flow of the hybrid car is online adjusted, so that a purpose of saving energy and reducing emission can be realized.

Description

technical field [0001] The invention relates to an energy-saving predictive control method for a hybrid electric vehicle based on road slope information, in particular to a real-time optimal control method for a hybrid electric vehicle. Background technique [0002] The increasingly severe global energy and environmental situation, especially the huge impact of the international financial crisis on the automobile industry, has pushed countries around the world to accelerate the strategic transformation of the automobile industry. In order to develop more energy-saving and environment-friendly automobiles and solve the above two problems, hybrid electric vehicles have been industrialized at present. Compared with traditional vehicles, hybrid vehicles have the redundancy of battery and fuel dual system drive. Using this redundancy, the operating point of the driving device can be adjusted to the optimal position, so as to achieve the goal of energy saving and emission reductio...

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Application Information

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IPC IPC(8): B60W20/00B60W40/00B60W20/11B60W20/15B60W20/16
CPCB60W20/00B60W40/00B60W40/076B60W40/105B60W2510/0638B60W2510/244B60W2520/10B60W2552/15B60W2552/25B60W2554/804B60W2555/40B60W2710/0644B60W2710/081B60W2710/244B60W2720/10
Inventor 余开江胡治国许孝卓杨俊起王允建谭兴国刘巍谢贝贝
Owner HENAN POLYTECHNIC UNIV
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