阅读说明：本技术 一种基于递阶控制的能量管理系统 (Energy management system based on hierarchical control ) 是由 周稼铭 何洪文 衣丰艳 魏中宝 彭剑坤 胡东海 衣杰 董鹏 于 2019-11-13 设计创作，主要内容包括：本发明公开了一种基于递阶控制的能量管理系统,包括GPS模块、工况预测模块、能量管理单元、执行控制单元和蓄电池状态估计单元,所述GPS模块将路况信息发送给工况预测模块,且工况预测模块包括行驶工况识别单元和车辆行驶状态转移概率矩阵。本发明引入分层递阶控制原理建立纯电动汽车能力管理系统,且该系统包含两个层级的控制策略,顶层策略为能量管理策略,采用马尔科夫决策理论建立能量优化管理模型,负责监控整个纯电动汽车动力系统的能量流动,根据系统当前的状态来确定电机的目标功率,底层决策为执行控制单元,根据系统当前状态来进行功率分配和电机控制,满足纯电动汽车动力性要求。(The invention discloses an energy management system based on hierarchical control, which comprises a GPS module, a working condition prediction module, an energy management unit, an execution control unit and a storage battery state estimation unit, wherein the GPS module sends road condition information to the working condition prediction module, and the working condition prediction module comprises a driving working condition identification unit and a vehicle driving state transition probability matrix. The system comprises two levels of control strategies, the top strategy is an energy management strategy, an energy optimization management model is established by adopting a Markov decision theory and is responsible for monitoring the energy flow of the whole pure electric vehicle power system, the target power of a motor is determined according to the current state of the system, the bottom strategy is an execution control unit, power distribution and motor control are carried out according to the current state of the system, and the requirement of the pure electric vehicle power is met.)

1. An energy management system based on hierarchical control is applied to a pure electric vehicle powered by a storage battery and a super capacitor together, and is characterized by comprising a working condition prediction unit, an energy management unit and an execution control unit;

the working condition prediction unit is connected with the energy management unit, and the energy management unit is electrically connected with the execution control unit;

the working condition prediction unit is used for acquiring current road condition information and vehicle state information, identifying a current driving working condition according to the current road condition information and the vehicle state information, and constructing a vehicle driving state transition probability matrix at the current moment;

the energy management unit is used for calculating the optimal power distribution ratio according to the vehicle running state transition probability matrix at the current moment;

the execution control unit is used for obtaining a vehicle acceleration signal, a braking signal, a torque signal and the optimal power distribution ratio, calculating the target output power of the storage battery and the target output power of the super capacitor, controlling the storage battery to supply power according to the target output power of the storage battery, and controlling the super capacitor to supply power according to the target output power of the super capacitor.

2. The hierarchical control-based energy management system of claim 1, wherein the energy management unit includes a markov decision-based optimization management model for calculating an optimal power distribution ratio from a vehicle driving state transition probability matrix.

3. The hierarchical control-based energy management system of claim 1, wherein the executive control unit includes a power distribution and motor control module, a DC/DC converter, a main relay, and a motor;

the power distribution and motor control module, the DC/DC converter, the main relay and the motor are sequentially connected, the super capacitor is electrically connected with the DC/DC converter, and the power battery is electrically connected with the main relay;

the power distribution and motor control module is used for acquiring a vehicle acceleration signal, a braking signal, a torque signal and an optimal power distribution ratio, and outputting a control signal to the DC/DC converter in a PWM (pulse-width modulation) wave mode so as to supply power to the motor by the super capacitor and the storage battery according to the optimal power distribution ratio.

4. The hierarchical control-based energy management system according to claim 1, further comprising the battery state estimation unit electrically connected to the energy management unit and the execution control unit, respectively;

the storage battery state estimation unit is used for acquiring the voltage and the current of the storage battery and respectively estimating the SOC and the SOH of the storage battery according to the piezoelectric and the current of the storage battery; and determines a battery SOC correction amount, and inputs the battery SOC correction amount to the energy management unit.

5. The energy management system based on hierarchical control of claim 1, further comprising a GPS module electrically connected to the condition prediction unit, wherein the condition prediction unit is configured to obtain road condition information via the GPS module.

6. The energy management system based on the hierarchical control according to any one of claims 1 to 5, wherein the execution control unit is configured to control the storage battery to be disconnected and the super capacitor to be connected with the motor when a braking signal is acquired, so that the motor generates power under the driving of vehicle inertia, and the generated electric energy DC/DC converter is stored in the super capacitor.

Technical Field

The invention relates to the technical field of new energy automobiles, in particular to an energy management system based on hierarchical control.

Background

The new energy generally refers to renewable energy developed and utilized on the basis of new technology, and comprises solar energy, biomass energy, wind energy, geothermal energy, wave energy, ocean current energy, tidal energy, heat circulation between the surface and the deep layer of the ocean and the like; in addition, hydrogen energy, methane, alcohol, methanol and the like are available, energy sources such as coal, petroleum, natural gas and water energy which are widely used are called conventional energy sources, with the limitation of the conventional energy sources and the increasingly prominent environmental problems, new energy sources which are characterized by environmental protection and regeneration are more and more emphasized by various countries, a new energy source automobile is a form of new energy source application, also called an electric automobile, and is a vehicle which uses a vehicle-mounted power supply as power and uses a motor to drive wheels to run and meets various requirements of road traffic and safety regulations, because the influence on the environment is smaller than that of the traditional automobile, the prospect of the new energy source automobile is widely seen, the types of the electric automobiles comprise a pure electric automobile, a hybrid electric automobile and a fuel cell automobile, but the performance of a power cell still has technical bottleneck at the present stage, and the endurance mileage of the pure electric automobile is obviously shortened along with the decline of the performance of the, particularly under urban driving conditions such as frequent starting, acceleration and braking, the energy consumption of the electric automobile is increased, the endurance mileage is obviously shortened, and the use of the pure electric automobile is severely limited.

Disclosure of Invention

The present invention is directed to an energy management system based on hierarchical control to solve the above problems.

In order to achieve the purpose, the invention provides the following technical scheme: an energy management system based on hierarchical control is applied to a pure electric vehicle powered by a storage battery and a super capacitor together, and comprises a working condition prediction unit, an energy management unit and an execution control unit;

the working condition prediction unit is connected with the energy management unit, and the energy management unit is electrically connected with the execution control unit;

the working condition prediction unit is used for acquiring current road condition information and vehicle state information, identifying a current driving working condition according to the current road condition information and the vehicle state information, and constructing a vehicle driving state transition probability matrix at the current moment;

the energy management unit is used for calculating the optimal power distribution ratio according to the vehicle running state transition probability matrix at the current moment;

the execution control unit is used for obtaining a vehicle acceleration signal, a braking signal, a torque signal and the optimal power distribution ratio, calculating the target output power of the storage battery and the target output power of the super capacitor, controlling the storage battery to supply power according to the target output power of the storage battery, and controlling the super capacitor to supply power according to the target output power of the super capacitor.

The hierarchical control-based energy management system as described above, wherein optionally the energy management unit includes a markov decision-based optimization management model for calculating an optimal power distribution ratio from the vehicle driving state transition probability matrix.

The energy management system based on hierarchical control as described above, wherein optionally, the execution control unit includes a power distribution and motor control module, a DC/DC converter, a main relay and a motor;

the power distribution and motor control module, the DC/DC converter, the main relay and the motor are sequentially connected, the super capacitor is electrically connected with the DC/DC converter, and the power battery is electrically connected with the main relay;

the power distribution and motor control module is used for acquiring a vehicle acceleration signal, a braking signal, a torque signal and an optimal power distribution ratio, and outputting a control signal to the DC/DC converter in a PWM (pulse-width modulation) wave mode so as to supply power to the motor by the super capacitor and the storage battery according to the optimal power distribution ratio.

The energy management system based on hierarchical control as described above, wherein optionally, the battery state estimation unit is electrically connected to the energy management unit and the execution control unit, respectively;

the storage battery state estimation unit is used for acquiring the voltage and the current of the storage battery and respectively estimating the SOC and the SOH of the storage battery according to the piezoelectric and the current of the storage battery; and determines a battery SOC correction amount, and inputs the battery SOC correction amount to the energy management unit.

The energy management system based on hierarchical control optionally further comprises a GPS module, wherein the GPS module is electrically connected to the operating condition prediction unit, and the operating condition prediction unit is configured to obtain road condition information through the GPS module.

The energy management system based on hierarchical control as described above, optionally, the execution control unit is configured to control the storage battery to disconnect when a braking signal is obtained, control the super capacitor to connect with the motor, so as to enable the motor to generate power under the driving of vehicle inertia, and store the generated electric energy DC/DC converter in the super capacitor.

Compared with the prior art, the invention has the following beneficial effects:

the system comprises two levels of control strategies, the top strategy is an energy management strategy, an energy optimization management model is established by adopting a Markov decision theory and is responsible for monitoring the energy flow of the whole pure electric vehicle power system, the target power of a motor is determined according to the current state of the system, the bottom strategy is an execution control unit, power distribution and motor control are carried out according to the current state of the system, and the requirement of the pure electric vehicle power is met.

Drawings

FIG. 1 is a schematic diagram of the system of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, the invention provides an energy management system based on hierarchical control, which is applied to a pure electric vehicle powered by a storage battery and a super capacitor together, and comprises a working condition prediction unit, an energy management unit and an execution control unit. The invention introduces a hierarchical control principle to suggest a pure electric vehicle energy management system, the control system comprises two levels of control strategies, the top level strategy is an energy management strategy and is realized by an energy management unit, a Markov decision theory is adopted to suggest an energy optimization management model which is responsible for monitoring the energy flow of the whole pure electric vehicle power system, and the target power of a motor is determined according to the current state of the system; the bottom layer strategy is an execution control layer, power distribution and motor control are carried out according to the current state of the system, and the requirements of the pure electric vehicle on dynamic performance are met.

The working condition prediction unit is connected with the energy management unit, and the energy management unit is electrically connected with the execution control unit. The working condition prediction unit is used for acquiring current road condition information and vehicle state information, identifying a current driving working condition according to the current road condition information and the vehicle state information, and constructing a vehicle driving state transition probability matrix at the current moment; the energy management unit is used for calculating the optimal power distribution ratio according to the vehicle running state transition probability matrix at the current moment; the execution control unit is used for obtaining a vehicle acceleration signal, a braking signal, a torque signal and the optimal power distribution ratio, calculating the target output power of the storage battery and the target output power of the super capacitor, controlling the storage battery to supply power according to the target output power of the storage battery, and controlling the super capacitor to supply power according to the target output power of the super capacitor.