Stator-flux-oriented control with high torque dynamics in the whole speed range for electric vehicles

Spichartz, M.; Steimel, A.; Staudt, V.

doi:10.1109/emobility.2010.5668045

Cited by 10 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Still, its economic performance had declined [14]. Professor Kowal and other scholars and Professor Spichartz and other scholars had established the optimization model for the parameter matching of power transmission system of electric vehicles and the control model for the dynamic response property of the power system, which have achieved excellent results [15,16].…”

Section: Introductionmentioning

confidence: 99%

Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

et al. 2020

View full text Add to dashboard Cite

Equipped with two power sources, the dual-driving powertrain system for pure electric vehicles has a driving mode different from traditional electric vehicles. Under the premise that the structural form of the transmission system remains unchanged, the following transmission schemes can be adopted for double drive electric vehicles according to the demand power: the main and auxiliary electric transmission scheme (two motors are driven separately with dual-motor coupling drive), the transmission scheme in which the two motors always maintain coupling drive, and the speed-regulating type electric transmission scheme (the main motor is always responsible for driving, and the auxiliary motor is responsible for speed regulation). Therefore, a significant difference exists in the design methods of the power transmission system of double drive electric vehicles and existing vehicles. As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. The prototype car used in this paper is a self-owned brand car; MATLAB/Simulink platform is used to build the vehicle simulation model, which is used for the computer simulation analysis of the vehicle dynamic performance and economy. It can be seen from the analysis result that the system parameters obtained by using the global optimization method proposed in this study can improve the vehicle dynamic performance and economic performance to varying degrees, which proves the efficiency and feasibility of the optimization method.

show abstract

Section: Introductionmentioning

confidence: 99%

Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The recuperation process depends on a certain efficiency of the drive train and the battery [12], [30]. The following calculation shows a rough estimation for the efficiency of the drive train with typical values [31]- [33].…”

Section: Achievementsmentioning

confidence: 99%

Examination and measurement of range extension using different recuperation modes in electric vehicles

Spichartz

Dost

2014

2014 IEEE Industry Application Society Annual Meeting

View full text Add to dashboard Cite

As the cruising range is one of the main disadvantages of fully electric vehicles compared to vehicles with combustion engines, its improvement is an important research challenge momentarily. The recuperation of the braking energy is one research approach. In this paper, the theoretical potential of recuperation is discussed and a survey of recuperation strategies is presented. The recuperation energy and therefore the obtained range extension of currently available electric vehicles is measured. In a further step, theoretically possible energy values for different recuperation levels are discussed. It is shown, that an optimised recuperation strategy can help to enlarge the range without extension of the accumulator capacity.

show abstract

“…Current model method can solve the problem of integral drift of u-i model and unable to establish the initial flux, but its observation accuracy is related to speed which is affected easily by the changes of motor speed [4]. For better estimating stator flux, many methods have been proposed such as Sliding Mode Variable Structure method [5,6], Model Reference Adaptive method [7], Kalman Filter method [8,9], Neural Network method [10].…”

Section: Introductionmentioning

confidence: 99%

Stator Flux Observer for Induction Motor Based on Prescribed Convergence Law Algorithm

Pan

Chen

2015

AMM

View full text Add to dashboard Cite

This paper proposes a stator flux estimation method for induction motor based on Prescribed Convergence Law algorithm. A stator flux observer is designed and applied for direct torque control (DTC) of induction motor. The observer tracks stator current and its differential with Prescribed Convergence Law algorithm of second order sliding mode in order to estimate rotor flux, and then estimate stator flux using the relationship between stator flux and rotor flux. This paper takes the differential of estimated flux error as disturbance and divides the MIMO (Multiple Input Multiple Output) observer model into two separate SISO (single input single output) systems, which simplifies the stability analysis. The observer is applied to DTC of induction motor and achieves a good control effect. Simulation experiment results validate the proposed method.

show abstract

Stator-flux-oriented control with high torque dynamics in the whole speed range for electric vehicles

Cited by 10 publications

References 9 publications

Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

Study on Global Parameters Optimization of Dual-Drive Powertrain System of Pure Electric Vehicle Based on Multiple Condition Computer Simulation

Examination and measurement of range extension using different recuperation modes in electric vehicles

Stator Flux Observer for Induction Motor Based on Prescribed Convergence Law Algorithm

Contact Info

Product

Resources

About