A hybrid electric vehicle reinforcement learning energy management control method

A technology of hybrid electric vehicles and enhanced learning, which is applied in hybrid electric vehicles, motor vehicles, transportation and packaging, etc., can solve the problems of small battery capacity decline and low fuel consumption, and achieve the optimization of vehicle economy, simplification of calculations, The effect of battery capacity decline optimization

Active Publication Date: 2020-10-09
FUZHOU UNIV
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AI Technical Summary

Problems solved by technology

However, the goals of minimal battery capacity degradation and lowest fuel consumption are in conflict

Method used

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  • A hybrid electric vehicle reinforcement learning energy management control method
  • A hybrid electric vehicle reinforcement learning energy management control method
  • A hybrid electric vehicle reinforcement learning energy management control method

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Embodiment Construction

[0052] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0053] like figure 1 As shown, the present invention provides an enhanced learning energy management control method for hybrid electric vehicles that takes into account both battery life and economy, and uses a combination of equivalent fuel consumption minimization strategy and enhanced learning algorithm to optimize control of battery decay and vehicle equivalent fuel consumption, In order to achieve the best economic performance of the vehicle, the specific steps are as follows:

[0054] Step S1, collecting vehicle status and battery status data;

[0055] The vehicle state data includes vehicle speed, required power, engine speed and motor speed, and the battery state data includes battery current, voltage, temperature, and SOC.

[0056] Step S2, establishing a hybrid vehicle ICE (Internal Combustion Engine) model, an EM (Electric Motor)...

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Abstract

The invention relates to a hybrid electric vehicle reinforcement learning energy management control method. According to the hybrid electric vehicle reinforcement learning energy management control method, by combining an equivalent consumption minimization strategy and a reinforcement learning algorithm and optimizing fuel consumption and battery capacity degradation, a target of optimal use cost of a whole hybrid electric vehicle is achieved. The hybrid electric vehicle reinforcement learning energy management control method comprises the following steps of 1) collecting vehicle state and battery state data; 2) establishing an ICE (Internal Combustion Engine) model, an EM (Electric Motor) model and a transmission system model of the hybrid electric vehicle, a battery internal resistance model and a battery degradation model; and 3) combining the equivalent consumption minimization strategy and the reinforcement learning algorithm, establishing a hybrid electric vehicle energy management strategy, calculating a multi-target optimization problem, and generating a control signal according to a calculation result to distribute engine power and motor power.

Description

technical field [0001] The invention relates to the field of hybrid electric vehicle energy management, in particular to a hybrid electric vehicle enhanced learning energy management control method. Background technique [0002] Nowadays, gasoline, diesel and other fuels used in traditional fuel vehicles are facing the crisis of increasing depletion. At the same time, vehicle exhaust emissions are also causing more and more serious pollution to the environment. New energy vehicles have become an inevitable trend in the development of automobiles. As a form of new energy vehicles, pure electric vehicles still have many problems that have not been effectively solved in terms of cruising range, battery life, and cost of use. As a form of transition from traditional fuel vehicles to pure electric vehicles, hybrid electric vehicles (HEVs) have become the focus of current research in the automotive field. [0003] The power system of a hybrid vehicle is composed of multiple power...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60W20/13B60W20/15
CPCB60W20/13B60W20/15B60W2510/0638B60W2510/081B60W2510/242B60W2510/246
Inventor 林歆悠王召瑞伍家鋆周斌豪张光吉
Owner FUZHOU UNIV
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