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Model-based predictive adjustment of electric machine of drive train of motor vehicle

A powertrain and motor vehicle technology, which is applied in electric vehicle charging technology, motors, electric vehicles, etc., and can solve problems such as cost calculation

Pending Publication Date: 2022-05-27
ZF FRIEDRICHSHAFEN AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, optimization-based strategies are very computationally expensive and so far only known as offline solutions or using dynamic programming to solve

Method used

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  • Model-based predictive adjustment of electric machine of drive train of motor vehicle
  • Model-based predictive adjustment of electric machine of drive train of motor vehicle
  • Model-based predictive adjustment of electric machine of drive train of motor vehicle

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Embodiment Construction

[0033] figure 1 A motor vehicle 1 is shown, eg a passenger vehicle. The motor vehicle 1 includes a system 2 for model-based predictive regulation of an electric machine of a powertrain of the motor vehicle 1 . In the embodiment shown, the system 2 comprises a processor unit 3 , a memory unit 4 , a communication interface 5 and a detection unit 6 for detecting status data related to the motor vehicle 1 . The motor vehicle 1 also includes a powertrain 7 , which can include, for example, an electric machine 8 , which can be operated as an electric motor and as a generator; a battery 9 ; and a transmission 10 . During motor operation, the electric machine 8 can drive the wheels of the motor vehicle 1 via a transmission 10 , which can have a constant transmission ratio, for example. The battery 9 can provide the electrical energy required for this. The battery 9 can be charged by the electric machine 8 when the electric machine 8 is running (recycling) in generator operation. A...

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Abstract

The invention relates to a processor unit (3) for model-based predictive adjustment of an electric machine (8) of a drive train (7) of a motor vehicle (1), the processor unit (3) being arranged to execute an MPC algorithm (13) for model-based predictive adjustment of the electric machine (8) of the drive train (7) of the motor vehicle (1). The MPC algorithm (13) contains a longitudinal kinetic model (14) of the powertrain (7) and a cost function (15) to be minimized. The cost function (15) contains, as a first term, an electrical energy weighted with a first weighting factor and predicted according to the longitudinal dynamical model (14), which is provided by a battery (9) of the drive train (7) in a predicted boundary for driving the electric machine (8). The cost function (15) contains, as a second term, a travel time weighted with a second weighting factor and predicted according to the longitudinal dynamical model (14), the motor vehicle (1) requiring the travel time in order to travel over the entire distance predicted within the prediction boundary. The processor unit (3) is arranged to determine an input variable for the electric machine (8) by executing an MPC algorithm (13) in dependence on the first term and in dependence on the second term in order to minimize a cost function.

Description

technical field [0001] The present invention relates to model-based predictive regulation of electric machines of a powertrain of a motor vehicle. In this respect, in particular, a processor unit, a motor vehicle, a method and a computer program product are claimed. Background technique [0002] Model-based predictive control methods (English: Model Predictive Control or MPC for short) are used in the field of trajectory control, especially in the field of motor control in motor vehicles. Schwickart in his book "Energy-Efficient Driver Assistance System For Electric Vehicles Using Model-Predictive Control", Schwickart, T., Université du Luxembourg, Dissertation , 2015) proposed a method for square programming. Here, the system is reformulated to obtain a linear or quadratic problem that converges and is easy to solve numerically. Furthermore, from EP2610836 A1 is known the optimization of energy management strategies by minimization of the cost function based on look-ahea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B60L15/20B60K31/00B60L50/60B60W30/14G05B13/04G01C21/34
CPCB60L15/2045B60L50/60B60L2240/64B60L2240/421B60L2240/423B60L2240/62B60L2260/32G01C21/3469Y02T90/16G01C21/3484
Inventor 瓦莱里·恩格尔安德烈亚斯·文德策尔拉拉·露特·特纳朱利安·金埃德加·梅内塞斯迈克·德雷埃尔
Owner ZF FRIEDRICHSHAFEN AG