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A hybrid vehicle energy management method and system

A technology of hybrid electric vehicles and hybrid electric vehicles, which is applied in the direction of hybrid electric vehicles, motor vehicles, transportation and packaging, etc., and can solve the problems of not expressing the differences and diversity of the operating conditions of automobiles, and not being able to show energy-saving effects, etc. achieve beneficial effects

Active Publication Date: 2021-08-03
NINGBO UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current energy management strategy development method based on standard vehicle operating conditions places more emphasis on "universal representativeness", but does not express the characteristics of differences and diversity of vehicle operating conditions over time in different cities, at different times, and in different locations.
The energy management strategy with good effect designed according to specific representative working conditions cannot show the expected energy saving effect under the actual random road traffic conditions

Method used

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  • A hybrid vehicle energy management method and system
  • A hybrid vehicle energy management method and system
  • A hybrid vehicle energy management method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] This embodiment discloses an energy management method for a hybrid vehicle, which is used to calculate the optimal energy consumption value of the hybrid vehicle, including the following steps:

[0032] S1. Randomly introduce the driving process of the hybrid vehicle, and collect the state set, action set, reward function and energy consumption during the driving process;

[0033] S2. When a certain state x appears in the state set i , the state x i The sum of the energy consumption corresponding to all subsequent states is assigned as the value of the reward function, and the state x is recorded i All subsequent states; if state x does not appear i Then go directly to S3;

[0034] S3. Determine whether the number of cycles reaches the preset number of cycles. If the number of cycles does not reach the preset number of cycles, return to S1 and continue to perform steps S1 and S2. If the number of cycles reaches the preset number of cycles, then enter S4;

[0035] S4...

Embodiment 2

[0049] Based on the same inventive concept, this embodiment discloses another energy management method for a hybrid vehicle, which is used to calculate the optimal driving process of a hybrid vehicle, that is, driving according to this process can obtain the vehicle speed and other states, behavior and energy consumption balance, Make the hybrid vehicle in a better state. The method includes the following steps:

[0050] S1. Randomly introduce the driving process of the hybrid vehicle, collect the state set, action set, reward function and energy consumption during the driving process, and form a state-action pair set;

[0051] S2. When a certain state-action pair appears in the set of state-action pairs (x i , a i ), put the state action on (x i , a i ) The sum of energy consumption corresponding to all the state pairs after ) is assigned as the value of the reward function, and the action pair (x i , a i ) behind all action pairs; if there is no state action pair (x i...

Embodiment 3

[0059] Based on the same inventive concept, this embodiment also includes a hybrid vehicle energy management system, including:

[0060] The sampling module is used to randomly introduce the driving process of the hybrid electric vehicle, and collect the state set, action set, reward function and energy consumption during the driving process;

[0061] Assignment module, used when a certain state x appears in the state set i or state-action pairs (x i , a i ), the state x i or state-action pairs (x i , a i ) all the states behind or all state behaviors assign the sum of the corresponding energy consumption as the value of the reward function, and record the state x i or state-action pairs (x i , a i ) behind all states or all state-behavior pairs;

[0062] The condition judging module is used to judge whether the number of cycles reaches the preset number of cycles. If the number of cycles reaches the preset number of cycles, return to the sampling module for sampling, ...

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Abstract

The present invention relates to a hybrid vehicle energy management method and system, comprising the following steps: S1. Randomly introduce the driving process of the hybrid vehicle, and collect the state set, action set, reward function and energy consumption during the driving process; S2. When the state concentration occurs a state x i , the state x i The sum of the energy consumption corresponding to all subsequent states is assigned as the value of the return function, and records all states where the energy consumption is the value of the return function; if no state x appears i Then go directly to S3; S3. Determine whether the number of cycles reaches the preset number of cycles. If the number of cycles does not reach the preset number of cycles, return to S1 and continue to execute steps S1 and S2. If the number of cycles reaches the preset number of cycles, then enter S4; S4. Calculation process The average energy consumption corresponding to the recorded state is the optimal energy consumption of the hybrid vehicle. The method adopts the Monte Carlo method to find the optimal value of the energy consumption of the vehicle and the optimal driving process, and the calculation is accurate and the efficiency is high.

Description

technical field [0001] The invention relates to a hybrid vehicle energy management method and system, and belongs to the technical field of energy consumption control. Background technique [0002] The hybrid vehicle control strategy is to dynamically coordinate various components to achieve the best performance of the vehicle according to the energy requirements of the power system during the driving process of the vehicle, such as: the best fuel economy, the lowest emission, the lowest system cost, the best drive performance. Hybrid electric vehicle control strategies generally come down to energy management problems. The energy management strategy of hybrid electric vehicle is to optimize the fuel consumption and emission, take the operating conditions of the vehicle as the design basis, and take the dynamic performance as the constraint condition to calculate the energy distribution of the two power sources. However, the current energy management strategy development m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W20/10B60W30/188B60W10/06B60W10/08B60W10/26
CPCB60W10/06B60W10/08B60W10/26B60W20/10B60W30/188B60W2050/0019B60W2510/0666B60W2510/085B60W2510/244B60W2520/10B60W2710/0677B60W2710/086Y02T10/62
Inventor 陈征
Owner NINGBO UNIVERSITY OF TECHNOLOGY
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