Optimization method for hybrid electric vehicles based on normalized energy minimization of road slope
A hybrid vehicle and road gradient technology, applied in hybrid vehicles, motor vehicles, road transportation and other directions, can solve problems such as difficulty in applying real-time controllers, reduced energy optimization performance, and ignorance of actual road gradients to achieve efficiency. The effect of improving, reducing the amount of computation, ensuring performance and longevity
Active Publication Date: 2020-09-18
SOUTHEAST UNIV
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Problems solved by technology
[0004] Purpose of the invention: the purpose of the present invention is to solve the problem that the existing hybrid vehicle speed planning method either has a large amount of calculation and is only suitable for offline operations, or due to the simplification of the control model, the energy optimization performance will be reduced, or the actual road gradient is not considered, and at the same time These methods are computationally intensive and difficult to apply to problems in real-time controllers
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[0049] The present invention will be further described below in conjunction with accompanying drawing:
[0050] figure 1 It is a schematic diagram of the system structure of a power-split hybrid electric vehicle, taking this type of hybrid electric vehicle as an example according to figure 2 The flow chart of the present invention is explained in detail.
[0051] The first step is to obtain the initial road information. The road slope information θ is mainly obtained through GIS, and the road speed limit information is mainly obtained through GPS.
[0052] The second step is the initial parameter setting, setting the relevant vehicle parameters, such as the initial vehicle speed v 0 , vehicle-related structural parameters, such as transmission ratio i k , drive train efficiency η t wait. The initial demand torque T can be obtained according to the initial parameters 需0 ,
[0053]
[0054] The third step is the calculation of the fuel equivalent factor. First, calculat...
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The present invention proposes a hybrid electric vehicle optimization method based on energy normalization and minimization of road slope, comprising the following steps: initial road information acquisition; initial parameter setting; fuel equivalent factor calculation; fuel equivalent consumption rate calculation; Conversion factor calculation; energy normalization minimization calculation. Under the premise of satisfying the vehicle dynamics and considering the actual road conditions, the present invention adopts a hybrid electric vehicle optimization method based on the energy normalization and minimization of the road slope, which ensures the optimization of energy consumption and ensures the power of the storage battery at the same time balance, thereby ensuring the performance and life of the battery. This method also overcomes the drawbacks of the traditional energy optimization method to obtain the future vehicle operating conditions in advance. At the same time, this method has a very short calculation time, so it has a strong application prospect in real vehicles.
Description
technical field [0001] The invention relates to a hybrid electric vehicle optimization method based on normalized energy minimization of road gradient, which only aims at the current vehicle with the same working condition as the known vehicle, and belongs to the technical field of hybrid electric vehicle energy optimization. Background technique [0002] Under the premise that the current mileage of electric vehicles is not ideal, hybrid vehicles are the best choice to ensure vehicle mileage and consider vehicle emissions. Therefore, many researchers devote themselves to the development of hybrid vehicles. The research methods can be roughly divided into two types: (1) Reconfigure the power system of hybrid electric vehicles to improve energy utilization efficiency. For example, the large number of multi-mode hybrid electric vehicles emerging today may be beneficial for high performance and energy efficiency; (2) Optimizing vehicle longitudinal dynamics, i.e. speed spectrum...
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IPC IPC(8): B60W30/14B60W10/06B60W10/08B60W20/15B60W40/076
CPCB60W30/143B60W10/06B60W10/08B60W20/15B60W2510/083B60W2520/10B60W2510/0657B60W2510/0638B60W2510/081B60W2552/15B60W2555/60Y02T10/84Y02T10/62
Inventor 庄伟超李兵兵殷国栋陈浩
Owner SOUTHEAST UNIV