Motor Vector Control Based on Speed-Torque-Current Map
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applied sciences Article Motor Vector Control Based on Speed-Torque-Current Map Jianjun Hu 1,2,*, Meixia Jia 2, Feng Xiao 2, Chunyun Fu 2 and Lingling Zheng 2 1 State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, China 2 School of Automotive Engineering, Chongqing University, Chongqing 400044, China; [email protected] (M.J.); [email protected] (F.X.); [email protected] (C.F.); [email protected] (L.Z.) * Correspondence: [email protected]; Tel.: +86-139-9607-3282 Received: 1 November 2019; Accepted: 16 December 2019; Published: 20 December 2019 Abstract: In order to effectively extend the mileage of pure electric vehicles, the influence of the electromechanical energy conversion principle and the dynamic control of a permanent magnet synchronous motor (PMSM) on the performance of pure electric vehicles are studied with a dual-motor drive system as a carrier in this paper. A vector control strategy based on the speed-torque-current map of a motor is proposed, considering the bus voltage fluctuation influenced by battery charge and discharge. By constructing a complete vehicle model including the dynamic control model of the motor, the power distribution control strategy of a dual-motor coupling mode considering the dynamic characteristics of the motor is developed and simulated on the MATLAB platform. The results show that the dynamic model of the motor is closer to the actual running conditions. The proposed control strategy effectively reduces the demand power, decreases the energy consumption of the electric drive system, and extends the mileage of the vehicle. Keywords: control strategy; dynamic control; pure electric vehicle; speed-torque-current map 1. Introduction As the only source of propulsion, the dynamic characteristics and the performance of the motor are very important to vehicles. In order to meet the needs of vehicle research, the study of motors from static control strategy to dynamic control strategy can make the vehicle run more efficiently. The efficiency and torque characteristics of the motor directly determine the effect of the control strategy. It also has a direct impact on the power loss of the motor and the mileage of the vehicle. In recent years, the permanent magnet synchronous motor (PMSM) is increasingly used as the power source in pure electric vehicles. Multi-power source systems are also taken seriously because of their wide efficiency range and multi-mode flexibility [1]. At present, the drive control strategy of a multi-power driven vehicle is mainly designed based on the static characteristics of the transmission system components [2]. In [3], a rule-based control strategy for a dual-motor coupling driven pure electric vehicle is designed to obtain the optimal acceleration performance. In [4], the dynamic programming algorithm is used to optimize the mode switching threshold value of a dual-motor coupling electric drive system with rotational speed coupling mode, and the optimized control strategy significantly improves the economic efficiency of the vehicle. Wang [5] comprehensively considered the problem of motor temperature rise, which leads to its efficiency and torque decline in the process of designing the coordinated control strategy of the whole vehicle powertrain. It effectively reduces the frequency of motor failure due to the temperature rising. Li [6] investigated the PMSM control system through combining the method of rotor field-oriented control and the space vector control strategy. Zhou [7] established the dynamic model of the PMSM and the efficiency model of the inverter Appl. Sci. 2020, 10, 78; doi:10.3390/app10010078 www.mdpi.com/journal/applsci Appl. Sci. 2020, 10, 78 2 of 21 module of the motor controller. He studied the speed and torque characteristics of the motor, as well as size and quality characteristics, and designed the control strategy based on torque compensation in the dynamic mode and economic mode. In order to improve the performance of PMSM when it is used as a motor to drive the vehicle, the working principle of this type of motor has been thoroughly analyzed, and its current vector control scheme is optimized [8–15]. Most of the motor dynamic models established by the above scholars are used to study the speed and torque response and energy consumption performance, but the influence of motor dynamic control on the vehicle drive control strategy has not been further studied. Furthermore, if only the static characteristics of components are considered in the formulation of the control strategy of the driving system, there will be a big discrepancy between the operating state of the system and the actual operation process. The influence of dynamic process and control on the performance of the vehicle cannot be ignored; otherwise, performance errors of the vehicle may be caused. The major defects of the static model are as follows. (1) In the static model, the speed and torque of the motor can step change; that is, the working point of the motor can step change instantaneously. However, in practical running, the change of the speed and the torque is not an ideal step process. If the static model is used as the basis of the driving strategy, its dynamic and economy performance have a large deviation from the actual running. (2) The actual operation of the motor is affected by the control parameters, and there is always torque fluctuation. However, these characteristics cannot be reflected in the static model. (3) In the process of coupling drive, the efficiency of different working modes is only considered in the static model, but the mode-switching process and the energy loss are ignored in the process. The dynamic model and control of the motor can fully respond to the whole process of mode operation and mode switching, which is in good agreement with the actual operation process of the motor. The combination of dynamic control and the multi-power vehicle model can reflect the characteristics of speed–torque and energy consumption. Exploring the influence of dynamic control on the performance of multi-power vehicles can be used to guide the formulation of the control strategy of a multi-power coupled electric drive system. The rest of the paper is organized as follows. Section2 introduces the electric drive system configuration and the main parameters that are used in the subsequent strategy. In Section3, a novel vector control strategy of PMSM based on the speed-torque-current map is proposed. Then, the proposed control strategy is validated in Section4 to evaluate the results of the running of the motor controlled by the new strategy. 2. Electric Drive System Configuration and Main Parameters The configuration of the dual-motor drive system [16] is shown in Figure1. The system consists of two drive motors (MG1 and MG2), one planetary gear, three clutches (C1, C2, and C3), one brake (B1), two gear pairs (Gear 1 and Gear 2), and one main reducer (Final Drive). This electric drive system can realize four working modes including MG1 driving alone (M1), MG2 driving alone (M2), torque coupling drive (M3), and speed coupling drive (M4), as shown in Figure2. The vehicle working modes and the corresponding component status are listed in Table1. Table 1. Vehicle working modes and the corresponding component status. This electric drive system can realize four working modes: MG1 driving alone (M1), MG2 driving alone (M2), torque coupling drive (M3), and speed coupling drive (M4). Mode MG1 MG2 C1 C2 C3 B Power Flow M1 M C OFF OFF ON OFF Figure2a M2 C M OFF ON OFF ON Figure2b M3 M M OFF ON ON ON Figure2c M4 M M ON ON OFF OFF Figure2d Appl. Sci. 2020, 10, x FOR PEER REVIEW 3 of 22 B1 C1 MG1 MG2 Gear 2 Gear 1 C3 C2 Final Drive Output shaft Appl. Sci. 2020, 10, 78 3 of 21 Appl. Sci. 2020, 10, x FOR PEER REVIEW 3 of 22 B1 C1 Figure 1. Electric drive system configuration. The system consists of two drive motors (MG1 and MG2), one planetary gear, three clutchesMG1 (C1, C2, and C3),MG2 one brake (B1), two gear pairs (Gear 1 and Gear 2), and one main reducer (Final Drive). Gear 2 Gear 1 C3 Table 1. Vehicle working modes and the corresponding component status. This electric drive system can realize four working modes: MG1C2 driving alone (M1), MG2 driving alone (M2), torque coupling drive (M3), and speed coupling drive (M4). Final Drive Output shaft Mode MG1 MG2 C1 C2 C3 B Power Flow M1 M C OFF OFF ON OFF Figure 2a M2 C M OFF ON OFF ON Figure 2b M3 M M OFF ON ON ON Figure 2c Figure 1. Electric drive system configuration. The system consists of two drive motors (MG1 and Figure 1. Electric drive system configuration. The system consists of two drive motors (MG1 and M4MG2), one planetaryM gear,M three clutchesON (C1, C2, andON C3), oneOFF brake (B1),OFF two gear pairs (GearFigure 1 and 2d MG2), one planetary gear, three clutches (C1, C2, and C3), one brake (B1), two gear pairs (Gear 1 and Gear 2), and one main reducer (Final Drive). Gear 2), and one main reducer (Final Drive). 功率流 B 功率流 B Table 1.Power Vehicle Flow working modes and the correspondingPower Flow component status. This electric drive system can realize four workingC1 modes: MG1 driving alone (M1), MG2C1 driving alone (M2), torque coupling MG2 drive (M3),MG1MG1 and speed coupling MG2driveMG2 (M4). MG1M1 MG2M2 Mode MG1 MG2 C1 C2 C3 B Power Flow C3 C3 M1 C2 M C OFF OFF C2ON OFF Figure 2a M2 C M OFF ON OFF ON Figure 2b M3 M M OFF ON ON ON Figure 2c M4 M M ON ON OFF OFF Figure 2d 功率流 B 功率流 (B ) Power Flow (a) Power Flow b C1 C1 MG1 MG2MG2 MG2 功率流 MG1 B MG2 功率流MG1M1 B MG2M2 Power Flow Power Flow C1 C1 C3 C3 MG1M1 MG2M2 MG1M1 MG2M2 C2 C2 C3 C3 C2 C2 (a) (b) 功率流 B 功率流 B Power Flow Power Flow C1 C1 M1 MG2M2 MG1 (c) MG1M1 (d)MG2M2 Figure 2.