A comparison between PMSM, EMSM and SMSM in a BAS application

Hagstedt, Dan; Márquez, Francisco; Alaküla, Mats

doi:10.1109/icelmach.2008.4800194

Cited by 11 publications

(5 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In what follows we use three auxiliary optimization variables, i.e., ε i , i ∈ Z [1,3] in order to avoid optimizing directly over the cost (19). Therefore, the low-computational-complexity MPC optimization problem can be formulated as follows.…”

Section: Resultsmentioning

confidence: 99%

“…The specific requirements for the electric machine used in applications such as automotive electrical traction drives has led to the adoption of externally excited synchronous machines (EESMs) as traction machine [1], [2]. The EESM is characterized by high efficiency, high power density, high torque at start-up [2] and an additional degree of freedom compared with the permanent magnet synchronous machine (PMSM) [1], [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Low-computational-complexity algorithm for current predictive control of an externally excited synchronous machine

Carpiuc

Lazăr

2013

2013 17th International Conference on System Theory, Control and Computing (ICSTCC)

View full text Add to dashboard Cite

The current control in externally excited synchronous machines employed in applications such as automotive electrical traction drives is a challenging problem. These applications are characterized by fast dynamics that are subject to hard physical constraints including quadratic constraints related to the state and control input. The goal of this paper is to develop a controller synthesis method which can deal with these challenges. To this end, firstly, a polytopic approximation of quadratic constraints is performed. Then, a low-computationalcomplexity algorithm for current predictive control based on the flexible Lyapunov functions concept is employed by using a onestep-ahead prediction horizon. It is then shown that the resulting current control problem can be transformed into a linear program, which is suitable for an on-line implementation. A realistic simulation scenario is then used to illustrate the effectiveness of the proposed method. The obtained results show significant improvement compared with the existing PI approaches. Moreover, the computational complexity of the algorithm is compatible with hardware requirements of existing electronic control units.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-computational-complexity algorithm for current predictive control of an externally excited synchronous machine

Carpiuc

Lazăr

2013

2013 17th International Conference on System Theory, Control and Computing (ICSTCC)

View full text Add to dashboard Cite

show abstract

“…EVs can provide stop-and-go and regenerative braking capacities, potentially reducing the fuel consumption by up to 10% [9]. Without a doubt, EVs can improve air quality and petroleum conservation while offering tremendous environmental, societal and economic benefits.…”

Section: Historical Development Of Electric Vehiclesmentioning

confidence: 99%

“…These requirements for EV drives can be depicted in Fig. 1 [9] and should be matched by the output characteristics of an EM drive. Typically, an EV motor needs to generate a peak torque (during starting, acceleration or hill climbing) which is 5-10 times the torque for cruising [13][14][15].…”

Section: Types Of Electrical Motor Drivesmentioning

confidence: 99%

Review of Electrical Motor Drives for Electric Vehicle Applications

Cao

Bukhari

Aarniovuori

2019

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

EVs (Electric Vehicles) have been rejuvenated over the last decades while the motor drive technologies are still evolving. This paper provides a review of electrical motor drive technologies used in EV applications, with a performance comparison of candidate machines and their drive topologies. EV applications demand high efficiency, high torque density, high reliability, and wide speed range while reducing weight, complexity, total costs and environmental impact. In the literature, DC (Direct Current) motors, IMs (Induction Motors) and PM (Permanent Magnet) motors can be generally found in marketplace whilst RMs (Reluctance Motors) have been researched for some time and are nearing commercial availability. This paper evaluates the performance of these four main types of electrical motor drives for EV propulsion applications using analytical methods. PM motors may offer the best performance in terms of torque density and compactness but the cost is the highest (primarily dominated by rare-earth permanent magnets), limiting their widespread application in mass production EVs. DC motors have their own merits but suffer from limited power density and necessity for maintenance. Induction motor drives are a mature and proven technology. In particular, squirrel-cage IMs are robust, reliable and inexpensive, striking a balance between system cost and complexity, power density and extended speed range. Reluctance motors can provide a good torque density and cost effective EV drive solutions. Their drawbacks can also be overcome by the use of power electronic converters and advanced control strategies. Induction and reluctance motor drives are well suited for cost sensitive mass production EV applications. Looking to the future, increased hybridization may be a way forward in industry which combines attractive features of different electrical machines and control algorithms and still offer much promise in performance and total cost. At last, reliability study on EVs requires historical information and driving patterns, demanding research expertise in eco-sociology, human behaviors as well as human-machine interface.

show abstract

“…The focus on high efficiency drives has led to the adoption of synchronous machines. The EESM is a good choice for the automotive industry due to its many advantages: high efficiency, high power density, high torque at start-up [1], high reliability, and an additional degree-of-freedom compared with the permanent magnet synchronous machine (PMSM) [2,3]. Therefore, the EESM is more appropriate for applications such as HEVs and full EVs as a traction machine.…”

Section: Introductionmentioning

confidence: 99%

Efficient State Reference Generation for Torque Control in Externally Excited Synchronous Machines

Carpiuc

Lazăr

2015

Journal of Dynamic Systems, Measurement, and Control

View full text Add to dashboard Cite

A relevant challenge in hybrid electric vehicles (HEVs) and full EVs is the torque control of externally excited synchronous machines (EESMs). Effective torque control requires an efficient solution to the state reference generation problem, which is a nonlinear nonconvex optimization problem. The goal of this paper is to develop a state reference generation algorithm based on the gridding of the state and output spaces. First, an approximation defined over a cubic partition of the torque function with a piecewise affine (PWA) function is made. As a result, the state reference generation problem is reduced in each cube to solving a convex optimization problem. Moreover, this approach provides guarantees about the error bound introduced by the state reference generation procedure for the full operational state-space. To illustrate the effectiveness and robustness of the proposed algorithm, several real-time results obtained on an industrial hardware-in-the-loop (HIL) test-bench are presented. The obtained results show significant improvement compared with existing state-of-the-art reference generation methods.

show abstract

A comparison between PMSM, EMSM and SMSM in a BAS application

Cited by 11 publications

References 1 publication

Low-computational-complexity algorithm for current predictive control of an externally excited synchronous machine

Low-computational-complexity algorithm for current predictive control of an externally excited synchronous machine

Review of Electrical Motor Drives for Electric Vehicle Applications

Efficient State Reference Generation for Torque Control in Externally Excited Synchronous Machines

Contact Info

Product

Resources

About