Loss minimisation control of induction motor drive for electrical vehicle

Stefański, T.; Karyś, S.

doi:10.1109/isie.1996.551072

Cited by 18 publications

(5 citation statements)

References 8 publications

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“…Although for simplicity the EM parameters are mostly assumed constant in the model based LMC implementations, during real operation their variations with torque, speed and temperature are rather significant in EV applications [98]. The parameter variations are identified from variables such as the load torque, temperature, stator frequency, and voltage [98]. Real-time estimation techniques using the reactive power error, torque error, and an error function based on stator voltage are proposed in [99].…”

Section: Loss Minimization Control Methodsmentioning

confidence: 99%

Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review

et al. 2020

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The market penetration of electric vehicles (EVs) is going to significantly increase in the next years and decades. However, EVs still present significant practical limitations in terms of mileage. Hence, the automotive industry is making important research efforts towards the progressive increase of battery energy density, reduction of battery charging time, and enhancement of electric powertrain efficiency. The electric machine is the main power loss contributor of an electric powertrain. This literature survey reviews the design and control methods to improve the energy efficiency of electric machines for EVs. The motor design requirements and specifications are described in terms of power density, efficiency along driving cycles, and cost, according to the targets set by the roadmaps of the main governmental agencies. The review discusses the stator and rotor design parameters, winding configurations, novel materials, construction technologies as well as control methods that are most influential on the power loss characteristics of typical traction machines. Moreover, the paper covers: i) driving cycle based design methods of traction motors, for energy consumption reduction in real operating conditions; and ii) novel machine topologies providing potential efficiency benefits. INDEX TERMS Electric machine, electric vehicle, efficiency, power loss, design parameters, control methods, driving cycle.

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Section: Loss Minimization Control Methodsmentioning

confidence: 99%

Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review

et al. 2020

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“…The copper and core losses contribute 70% of the total losses and hence, are the critical factors which decide the motor efficiency while the sum of stray load losses and the mechanical loss do not exceed 30% of the total losses (Stefanski andKarys, 1996, Chandan andYoichi, 2003). The values of them are different as the voltage and the load changes.…”

Section: Component Of Energy Loss In Squirrel Cage Induction Motor (Smentioning

confidence: 99%

“…Based on previous researches, in order to obtain maximum efficiency, the losses are minimized by adjusting or determining the optimum flux (Stefanski and Karys, 1996;Radwan et al, 2008). The copper losses and the core losses are a majority of the total loss during light load.…”

Section: Conversional Techniquesmentioning

confidence: 99%

Improving squirrel cage induction motor efficiency: Technical review

Razali

Abdalla²,

Ghoni³

2012

Int. J. Phys. Sci.

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Studying and improving of Squirrel Cage Induction Motor (SCIM) efficiency is a continuous area of interest not only among the researchers but also the industry, manufacturer and government. However, until today there are still struggles to find the most holistic environment of the SCIM which achieve its efficiency at the most lowest cost and at the same time sustaining the performance of the motor. This paper will focus on the method on improving SCIM efficiency. The first discussion presented the main importance of efficient motors and its drive systems. These are partly conceptual, partly concerning circuit topology and current commutation technique. The second discussion ooptimization of SCIM efficiency using intelligent techniques which are of particular interest. The third discussion describes the energy efficiency of SCIM standards and most effect motor parameters on SCIM efficiency.

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“…Some of these LMTs use motor parameters derived from offline motor testing, where the parameters are assumed to be fixed [21], [22], [23], [24], [25], [26], [27], and [28]. Others use look-up tables derived offline from a motor model [29], while still others try to estimate the parameters online and then use them to achieve minimum losses [30], [31], and [32]. Table 1 summarizes power loss (P loss ) models, each with its minimization variable (x), for most model-based LMTs presented here.…”

Section: Model-based Techniquesmentioning

confidence: 99%

“…For light loads on a 1.5 hp motor, results presented in [32] show reduction in power losses of more than 75% from the rated V/f. In [31], dynamic properties of the motor were identified, including inertia, load torque, temperature, stator frequency, and stator voltage. These parameters were used to approximate changes in the motor parameters based on polynomial functions.…”

Section: Model-based Techniquesmentioning

confidence: 99%

A survey of real-time power-loss minimizers for induction motors

Bazzi

Krein

2009

2009 IEEE Electric Ship Technologies Symposium

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This paper presents a survey of available techniques for minimizing power losses and input power of induction motors. The presented techniques serve different induction motor applications, including electric ship propulsion systems. Realtime techniques presented here are divided into three main categories: model-based methods that use the induction motor model, physics-based methods that search for the minimum power loss regardless of the motor model or parameters, and hybrid methods that combine both approaches. Definitions, comparisons, and details about these methods are presented. To compare model-based and physics-based methods in a propulsion application, simulations of a model-based technique and another physics-based technique are also presented.

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Loss minimisation control of induction motor drive for electrical vehicle

Cited by 18 publications

References 8 publications

Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review

Design Approaches and Control Strategies for Energy-Efficient Electric Machines for Electric Vehicles—A Review

Improving squirrel cage induction motor efficiency: Technical review

A survey of real-time power-loss minimizers for induction motors

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