C2.1 - Wireless Sensor for Temperature and Flux Measurements in an Axial Flux Machine

Bock, A.; Funck, Jürgen; Giedymin, Artur; Gühmann, C.; Liu, D.; Burke, Ronald A.

doi:10.5162/sensor2015/c2.1

Cited by 2 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The wireless sensor system was a bespoke design for this research and was mounted onto the rotor as shown in Figure 17b [41].…”

Section: Test Motor Instrumentationmentioning

confidence: 99%

“…The inductive power supply consists of two coils, with the primary one fixed on the motor housing whilst the secondary one fixed on the rotor, as shown in Figure 17b. To maximize the magnetic coupling and hence the power transmission between these two coils, the primary coil is partly inside the secondary coil [41]. As shown in Figure 17b, the secondary coil holder is made by plastic using a 3D…”

Section: Test Motor Instrumentationmentioning

confidence: 99%

See 1 more Smart Citation

A Lumped Parameter Thermal Model for Single-Sided AFPM Machines With Experimental Validation

Burke

Giedymin

et al. 2020

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

Axial flux permanent magnet (AFPM) machines are promising for hybrid electric vehicles (HEVs) due to the compactness, high torque density and high efficiency. However, poor thermal characterization leads to an over-sizing of these machines which ultimately compromises overall system efficiency. In this paper, the transient thermal behaviour of all the components in the single sided AFPM machine are characterized in an accurate but computationally efficient lumped parameter thermal model (LPTM). For the first time, contact measurements on the rotor have been used in AFPM machines to demonstrate the ability of the model to predict all component temperatures to within 4 °C for steady state. The mean temperature error over a load step transient was less than 5°C with a maximum error less than 13.5 °C which was for the winding. The model has a running time of approximately 1000 times faster than real time on a desktop machine and is suitable for integration into system simulation tools and predictive control strategies to avoid over-sizing of the motor and improve the usage of the electric machine in dynamic duty cycles.

show abstract

“…The wireless sensor system was a bespoke design for this research and was mounted onto the rotor as shown in Figure 17b [41].…”

Section: Test Motor Instrumentationmentioning

confidence: 99%

Section: Test Motor Instrumentationmentioning

confidence: 99%

A Lumped Parameter Thermal Model for Single-Sided AFPM Machines With Experimental Validation

Burke

Giedymin

et al. 2020

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

show abstract

“…As a result, fixed-point arithmetic is used for the implementation. In order to transfer the existing KF algorithm from floating point to fixed point representation, the proper Q-format (Qm.n) defined in [11] has to be considered first. Both the range and the resolution of the data are the key factors for choosing the type of Q-format.…”

Section: Kf Algorithm Implementation In the Ncap Using Fixed-point Arithmeticmentioning

confidence: 99%

“….31 format was used for the arithmetic with a resolution of and a range of [-1, 0.999999999534]. This means that one bit is used to represent the sign complement, no bits represent the integer portion and the remaining 31 represent the fractional part of the number[11].…”

mentioning

confidence: 99%

A8.2 - Temperature Estimation of Induction Machines Based on Wireless Sensor Networks

Huang¹,

Gühmannn²

2017

Proceedings Sensor 2017

View full text Add to dashboard Cite

The 4 th -order Kalman filter (KF) algorithm is implemented in the wireless sensor node to estimate the temperatures of the stator winding, the rotor cage and the stator core in the induction machine. Three separate wireless sensor nodes are used to acquire and preprocess the input signals. The hall sensors are used to acquire the three-phase stator currents and voltages of the induction machine. All of them are processed to Root-Mean-Square (RMS) in ampere and volt. A rotary encoder is mounted for the rotor speed and PT1000 is used for the temperature of the coolant air. The processed signals in the physical unit are transmitted wirelessly to the host wireless sensor node, where the KF is implemented with fixed-point arithmetic in Contiki OS. Compared to the floating-point implementation, the fixed-point implementation has the same estimation accuracy of 97% at only about one-fifth of computation time. Temperatures of the machine could be monitored by an App on a smart phone with internet.

show abstract

C2.1 - Wireless Sensor for Temperature and Flux Measurements in an Axial Flux Machine

Cited by 2 publications

References 0 publications

A Lumped Parameter Thermal Model for Single-Sided AFPM Machines With Experimental Validation

A Lumped Parameter Thermal Model for Single-Sided AFPM Machines With Experimental Validation

A8.2 - Temperature Estimation of Induction Machines Based on Wireless Sensor Networks

Contact Info

Product

Resources

About