Politecnico di Torino Porto Institutional Repository [Proceeding] Load identification in dynamic wireless power transfer system utilizing current injection in the transmitting coil Original Citation: Khalilian, Mojtaba; Rosu, Stefan George; Cirimele, Vincenzo; Guglielmi, Paolo; Ruffo, Riccardo (2016). Load identification in dynamic wireless power transfer system utilizing current injection in the transmitting coil. In: 2016 IEEE Wireless Power Transfer Conference (WPTC), 5-6 May 2016. pp. 1-4 Availability: This version is available at : http://porto.polito.it/2644844/ since: July 2016 Publisher: IEEE Published version: DOI:10.1109/WPT.2016.7498793 Terms of use: This article is made available under terms and conditions applicable to Open Access Policy Article ("Public - All rights reserved") , as described at http://porto.polito.it/terms_and_conditions. html Porto, the institutional repository of the Politecnico di Torino, is provided by the University Library and the IT-Services. The aim is to enable open access to all the world. Please share with us how this access benefits you. Your story matters. (Article begins on next page) Load Identification in Dynamic Wireless Power Transfer System Utilizing Current Injection in the Transmitting Coil Mojtaba Khalilian1, Stefan George Rosu2, Vincenzo Cirimele1, Paolo Guglielmi1 and Riccardo Ruffo1 1 Politecnico di Torino, Department of Energy, Torino, Italy University Politehnica of Bucharest, Bucharest, Romania mojtaba.khalilian@polito.it, stefan.g.rosu@ieee.org, vincenzo.cirimele@polito.it, paolo.guglielmi@polito.it 2 Abstract—In this paper, a load identification approach for dynamic wireless power transfer for electric vehicles is introduced. In the proposed method, determination of the load parameters and position are achieved without requiring any communication link between the transmitter and receiver or using any extra coil. The load detection procedure is achievable using two modes: the energy injection mode and the free resonant mode. The operating principles and theoretical analysis of this method are presented in this paper, together with experimental results. Keywords—Load resonant converter. identification; I. wireless power transfer; INTRODUCTION Electric vehicles (EVs) have not yet been widely accepted by the consumer due to the several problems such as price, driving range, and charging time. Wireless Power Transfer (WPT) technology is a practical way to mitigate these problems. This technology allows the power transfer between a fixed coil named transmitter placed on or under the road pavement and a second one placed under the vehicle floor named receiver [1]-[3]. Dynamic IPT/WPT is the extension of this technology toward the charge of the vehicle during the motion. This is achieved by spreading out the transmitter coils over a dedicated lane. Three different generic roadbed geometries, long wire loop, sectioned wire loops, and spaced loops, are investigated in [4]. The overall efficiency of the system is strongly affected by the coupling coefficient. A small loop size increases the system efficiency and can reduce the supply voltage and reactive power requirements [4] but the power transfer must begin at each transmitter coil in a safe way. One major problem in dynamic wireless power transfer is accurately detecting the electric vehicle as it approaches and passes along the transmitter coils. When the electric vehicle is approaching a transmitter, the power supply controller has to enable power transfer by energizing the receiver coil in correspondence to its arrival over the transmitter. On the other hand, when no load is detected, the transmitter is no longer energized and the power transfer has to be stopped or avoided. This aspect influences the continuity of the power transmission and represents an important part of the charging operation. Furthermore, if a conductive material is near the energized primary coil it must be detected in order to avoid additional losses or damages. One possible solution for load identification is to use communications between the transmitter and the receiver using a Radio Frequency (RF) link in order to determine the position. However, this method may have a delay that will result in large current peaks in the coils or decreasing the time that the EV can be charged. Several works have dealt with these aspects [5]-[9]. In [5] the authors treat a similar problem by applying the Particle Swarm Optimization (PSO) algorithm to identify the load parameters in an induction heating application. In [6], multiple coils mounted on the primary and secondary couplers are used to detect the position of the EV. Paper [7] introduces a load detection method for the voltage-fed IPT used in induction heating application systems by using the energy injection mode. In [8], a load detection scheme has been proposed for a wireless power transfer system based on the observation of the transmitter coil voltage and supply current. In this paper, a load position and identification approach for dynamic WPT is proposed. The determination of the operating mode is achieved without requiring any communication link between the transmitter and the receiver or using any extra coil but adopting a specific detection method directly using the power electronics connected to each transmitter. The evolution of the envelope of the peak value of the transmitter resonant current is used to detect the position or type of load. The operating principles and theoretical analysis are presented in this paper together with an experimental validation. II. WPT OPERATION DESCRIPTION A simplified scheme of the WPT system is illustrated in Fig. 1. It is composed of an input DC voltage source, a full bridge inverter, transmitter and receiver coils, compensation capacitors C1 and C2, a diode rectifier at the receiver side with a filter capacitor Cf connected to the EV battery. The capacitors C1 and C2 are selected in order to obtain the same resonant frequency for the primary and the secondary sides. This choice allows compensating the impedance of the coils improving the power transfer capability. The equivalent impedance of an IPT transformer is defined based on the following equation: Z eq 1 ω2M 2 = R1 + jωL1 + + jωc1 R + R + jωL + 1 2 L 2 jωC 2 (1) Where R1 is the winding resistance of the transmitter, L1 is its self-inductance, M is the mutual inductance of coupled inductors, R2 is the winding resistance of the receiver, L2 is self-inductance and RL is the equivalent load resistance [10]. 978-1-4673-7986-1/16/$31.00 ©2016 IEEE S1 S3 iL1 VDC iL2 L1 L2 S4 Do3 Cf C2 C1 S2 Do1 Do2 Vout Do4 Fig. 1. Scheme of the proposed series-series compensated IPT system If the converter works at resonant frequency, the equivalent resistance seen from the primary is: Req = R1 + III. ω2M 2 R2 + RL (2) Fig. 2. Simulation of energy injection mode and free resonant mode LOAD DETECTON METHOD The load detection process is composed of two parts; the energy injection mode and observation of the envelope of the peak values of the resonant current in the free resonant mode. The current in the transmitter during the energy injection mode and free resonant mode is presented in Fig. 2. The injection mode is realized by applying a voltage impulse to the transmitter. Based on Fig. 2, the energy injection starts at t0. In this mode, the inverter switches are working in the conventional mode and the energy is stored in the reactive elements of the system. When the current injection mode ends, the free resonant mode starts at t1. For a typical WPT system the time interval t0 - t1 is a fraction of the resonant period. In free resonant mode, the load can be identified. In this mode, lower switches of the inverter turn on at the same time. S1 and S3 turn off and S2 and S4 turn on and the current freewheels in the circuit. In free resonant mode, the injected power is dissipated in the resistances of the primary circuit or, if the load is present, transferred to the load. By writing the differential equation of the primary circuit in free resonant mode, the primary current equation can be written as follows [7]: i1 (t ) = α= ω 0 − αt e cos(ω1t + θ) L1ω1 (3) ω L ω1 ω , ω1 = ω0 2 − α 2 , θ = arccos 1 , Q1 = 0 1 (4) Req 2Q1 ω0 Where, ω1 is the operating frequency in free resonant mode. The waveform of the primary current is shown in Fig. 3. As visible, the current decreases exponentially with the behavior described by (3). If the values of R1, R2 and L1 remain constant, equations (3) and (4) indicate that the damping coefficient is related only to RL and M. If the load resistance increases, the damping coefficient increases and thus, the time needed to reach a minimum set value of the peak current decreases. Furthermore, the damping coefficient increases when mutual inductance increases. When the primary side and the secondary side are separated from each other, M is equal to zero so the damping coefficient is in the minimum value and thus, envelope waveform of i1 will decay in a longer time. Fig. 3. Simulation of primary current in free resonant mode At this time, no load position detection exists, but a foreign material that increases the equivalent resistance could be detected. Thus, the detection process continues until a load is detected. When the receiver reaches the transmitter, M increases causing the increasing of the damping coefficient. According to this, i1 envelope waveform declines. This reduction is used by the control circuit to identify the presence of the load. The equation of the peak values of the current i1 can be written as: i1 (n) = 1 − αt n 2π(n + 1) , tn = e ω0 L1 (5) Where n is an integer defined as the nth oscillation of the primary current. If (5) is used for two different n, then: −α( 2 π ( n1 +1) ) ω0 i1 (n1 ) e = 2 π( n2 +1) i1 (n2 ) −α( ) ω0 e (6) By simplifying (6), α can be rewritten as: α= ω0 (ln(i1 (n1 )) − ln(i1 (n2 ))) 2π(n1 − n2 ) (7) For foreign material identification, the peak values of i1 should be obtained and then, the damping coefficient is calculated by (7). By using (4), Q1 and Req are obtained. Finally by (2), the load resistance equation can be obtained: RL = ω0 2 M 2 − R2 (ln(i1 (n1 )) − ln(i1 (n2 )))ω0 L1 − R1 π(n1 − n2 ) I. (8) EXPERIMENTAL RESULTS In order to validate the theoretical analysis, experimental tests have been conducted. In these tests, the supply voltage for the full bridge inverter is 200 V DC. A combination of Nchannel SiC power MOSFET SCT2080KE and IGBT IRG7PH46U is used for inverter switches to reduce conduction losses. The experimental parameters are: C1=15 nF, C2=30 nF, L1= 240 μH, L2= 120 μH, M= 18 μH, R1=0.5 Ω, R2=0.35 Ω, and inverter switching frequency is equal to 84 kHz. The pictures of the implemented system are shown in Fig. 4 and Fig. 5. Two sets of experimental test are done to show the effectiveness of the proposed load identification method. For all tested situation a single pulse small amplitude squared voltage has been applied to the primary side. Fig. 4. Implemented power converter In the first test, the output of the diode rectifier connected to the receiver is short circuited. The primary and secondary side currents for different positions of the load are shown in Fig. 6 and Fig. 7 respectively. When receiver coil is far from the transmitter (M=0), no energy is transferred to the secondary and thus, change of the current envelope is not high. Fig. 5. Picture of transmitter and receiver 1 M=0 coils are partially coupled 0.5 0 -0.5 M=Max -1 0 0.5 1 Time (s) 1.5 10-4 Fig. 6. Experimental results: first configuration, primary current with diode bridge Fig. 8. Experimental results: second configuration, primary current without diode bridge Fig. 7. Experimental results: first configuration, secondary current with diode bridge Fig. 9. Experimental results: second configuration, secondary current without diode bridge If a load is present, the envelope of the peak current has a fast variation after the first oscillations. The first oscillations will transfer some power to the secondary however, because of the presence of the diode bridge, there will be no power sent back to the transmitter. The amplitude of the envelope of the remaining oscillations in the primary will depend on the coupling factor. Based on this, a minimum coupling factor could be defined at which the power transfer will begin. In the second test, full bridge diode in the secondary is removed and the secondary is short circuited. Thus, in the secondary, there is only a resonant circuit composed of L2, C2 and parasitic resistance. Currents of primary and secondary coils for two different positions of the load for this test are shown in Fig. 8 and Fig. 9. The absence of the diode bridge allows the power that is not lost as heat in the parasitic resistance of the receiver circuit to be fed back to the transmitter. The slope of the envelope of the peak current oscillations will depend on the coupling factor. It should be mentioned that the same behavior is obtained if the short circuit is made with two MOSFET transistors in a full MOSFET bridge. The small oscillations of the secondary current visible in Fig. 9, appear also in the case M=0 according to the proximity of the receiver due to the dimensions of the laboratory. II. CONCLUSION In this paper, a new load identification method for wireless power transfer system is introduced. The advantages of this method are that it does not require any communication link between the primary and secondary coil and it does not use any extra coil. By using the full bridge inverter, a square-wave voltage impulse at output of the inverter is generated. Then, primary coil and primary capacitor start resonating. The evolution of the envelope of the peak values of the primary current in the free resonant mode is used by the control circuit to detect the position or type of load. The operating principles and theoretical analysis was presented in this paper. Experimental results were also presented to prove the validity of theoretical analysis. ACKNOWLEDGMENT This work has been co-funded by the European Union’s 7th Framework Program for Research through the FABRIC project (No. FP7 605405). REFERENCES [1] F. Musavi and W. Eberle, “Overview of wireless power transfer technologies for electric vehicle battery charging”, IET Power Electronics, vol. 7, no. 1, pp.60-66, 2014. [2] S. Y. Choi, B. W. Gu, S. Y. Jeong and C. T. Rim, “Advances in wireless power transfer systems for roadway-powered electric vehicles”, IEEE J. Emerg. Select. 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