A computationally efficient design technique for electric vehicle traction machines

Lazari, Panagiotis; Wang, J.; Chen, L.

doi:10.1109/icelmach.2012.6350251

Cited by 49 publications

(33 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The operating points representing the energy consumption of the driving cycles under consideration, i.e. NEDC and Artemis Urban, were derived using the concept of "energy gravity centres" developed in [8], as illustrated under the envelope in Fig.2. Each point represents a torque speed combination at which a specific amount of energy, referred to as energy weight, is consumed over a driving cycle.…”

Section: Traction Machine Torque-speed Characteristics and Driving Cymentioning

confidence: 99%

“…However, despite the need for high torque to satisfy the hill-climbing and acceleration requirements, EV traction machines during typical urban or sub-urban driving frequently operate in the low torque region where the efficiency is much lower. Consequently, the mismatch between the high operating duty and high efficiency regions of the existing EV traction machines will result in low overall energy efficiency, high energy consumption, and reduced vehicle range [8]. Further, owing to the highly dynamic character of traction machines in response to various driving conditions, static power efficiency is an inadequate performance metric for their evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…The optimisation was conducted using the computationally efficient technique developed in [8]. The paper considers two driving cycles, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Design Optimisation and Performance Evaluation of a Rare-Earth-Free Permanent Magnet Assisted Synchronous Reluctance Machine for Electric Vehicle Traction

Lazari

Wang

Chen

et al. 2014

7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014)

Self Cite

View full text Add to dashboard Cite

The paper focuses on the design optimisation and performance evaluation of low remanence Permanent Magnet Assisted Synchronous Reluctance Machines (PMA SynRM) against driving cycles. It demonstrates the impact of different driving cycles, such as the NEDC and Artemis Urban, on the design and attainable energy efficiency of PMA SynRM considered for traction applications through the use of design case studies. The parameter optimisation trends against these characteristically different driving cycles are coherently analysed with respect to the energy loss distribution, magnet usage and reluctance torque capability of the PMA SynRM. The performance of the optimised PMA SynRM is then compared to that of a conventional Interior Permanent Magnet Synchronous Machine (IPMSM) employing sintered NdFeB magnet material and optimised against the same driving cycle.

show abstract

Section: Traction Machine Torque-speed Characteristics and Driving Cymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design Optimisation and Performance Evaluation of a Rare-Earth-Free Permanent Magnet Assisted Synchronous Reluctance Machine for Electric Vehicle Traction

Lazari

Wang

Chen

et al. 2014

7th IET International Conference on Power Electronics, Machines and Drives (PEMD 2014)

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, in many applications the optimized motor is to operate with variable frequency drives at various load operating points. A case of particular concern pointed out by numerous studies [8][9][10][11] is in traction applications, where the motor is most likely to operate far away from its rated torque and nominal speed. This is whereas the correlation between the main design variables and motor performance metrics, can be significantly affected by the machine's level of ampere loading and magnetic core saturation [12].…”

mentioning

confidence: 99%

“…This is whereas the correlation between the main design variables and motor performance metrics, can be significantly affected by the machine's level of ampere loading and magnetic core saturation [12]. This accentuates the challenges in the design of electric motors with intermittent operating cycles where an optimal design is to maintain high performance under various loading conditions.In previous attempts [10,11], a method known as the cyclic representative points was proposed for efficient modeling of …”

mentioning

confidence: 99%

Large-scale electromagnetic design optimization of PM machines over a target operating cycle

Fatemi

Demerdash

Ionel

et al. 2015

2015 IEEE Energy Conversion Congress and Exposition (ECCE)

View full text Add to dashboard Cite

A novel automated design algorithm for applicationbased optimization of permanent magnet (PM) machines is presented in this paper. The proposed algorithm features precise performance evaluation of the potentially heavily saturated machines at high-energy-throughput operating zones using finite element (FE) techniques. First, the energy consumption function associated with the machine's operating cycle is efficiently modeled by a number of representative load points using a kmeans clustering algorithm. Subsequently, a new approach is developed to assess the performance of the machine at each representative load point with proper control to conform to practical operational constraints imposed by voltage and current limits of the motor-drive system. The developed algorithm is applicable to the optimization of any configuration of PM and synchronous reluctance motors over any conceivable operating cycle. Its effectiveness is demonstrated by optimizing the wellestablished reference/benchmark design represented by the 2004 Toyota Prius IPM motor configuration over a compound operating cycle consisting of common US driving schedules. I. INTRODUCTIONDepending on the particular application, the design optimization methods of electric machines [1-7] aim at realizing a set of objectives under certain performance constraints described in the optimization fitness function. Regardless of the type of motor and the objectives/constraints under which the optimization is performed, whether optimizing for constant torque [6] or constant power [7] operations, the automated design techniques evaluate the associated fitness function at the rated torque and base speed. However, in many applications the optimized motor is to operate with variable frequency drives at various load operating points. A case of particular concern pointed out by numerous studies [8][9][10][11] is in traction applications, where the motor is most likely to operate far away from its rated torque and nominal speed. This is whereas the correlation between the main design variables and motor performance metrics, can be significantly affected by the machine's level of ampere loading and magnetic core saturation [12]. This accentuates the challenges in the design of electric motors with intermittent operating cycles where an optimal design is to maintain high performance under various loading conditions.In previous attempts [10,11], a method known as the cyclic representative points was proposed for efficient modeling of

show abstract

Efficient Power-Split Powertrain for Full Electric Vehicles

Mantriota

Reina

2020

Mechanisms and Machine Science

View full text Add to dashboard Cite

Electric vehicles are typically employed in highly-variable operating conditions, especially during city drive. The variability in speed and torque results in suboptimal efficiency of the drive motor. However, recent technological advances in new embedded processing units and power electronics open the way to the adoption of novel efficient control strategies of the electric powertrain. This paper proposes an architecture that in contrast to the use of a single drive electric motor employs two drive motors of smaller size combined through a planetary gear. This power-split full-electric architecture ensures both drive motors to operate in their optimal working range resulting in a higher overall efficiency. A parametric optimization is performed showing an increase in the average efficiency of about 7% with respect to a single motor for the Artemis urban cycle.

show abstract

A computationally efficient design technique for electric vehicle traction machines

Cited by 49 publications

References 10 publications

Design Optimisation and Performance Evaluation of a Rare-Earth-Free Permanent Magnet Assisted Synchronous Reluctance Machine for Electric Vehicle Traction

Design Optimisation and Performance Evaluation of a Rare-Earth-Free Permanent Magnet Assisted Synchronous Reluctance Machine for Electric Vehicle Traction

Large-scale electromagnetic design optimization of PM machines over a target operating cycle

Efficient Power-Split Powertrain for Full Electric Vehicles

Contact Info

Product

Resources

About