To overcome the shortcomings of traditional in-wheel motor applied in electric vehicles, an integrated dual-rotor in-wheel motor (DRIWM) was proposed, which can realize single inner motor drive, single outer motor drive and dual-motor coupling drive. How to choose the most suitable drive mode for current driving condition and dynamically distribute the power of inner and outer motors is the key to solve the vehicle energy consumption problem. On the basis of the driving characteristics analysis of the motor, the drive mode switching rules of the DRIWM driven electric vehicle were formulated based on the optimal system efficiency, and the specific working range of each drive mode was determined. In the coupling drive mode, a torque distribution strategy based on the minimal energy consumption of the system was proposed by the efficiency characteristics of inner and outer motors. The simulation results show that, when the vehicle is running on the gradients of 5%, 10% and 15% respectively, the system power consumption is reduced by 4.1%, 2.7% and 1.6% using the proposed torque distribution strategy compared with no optimization strategy. In the NEDC cycle, the three drive modes of the DRIWM can freely switch with the changes of vehicle speed and demand torque. Most of the working points of inner and outer motors are distributed in the higher efficiency range, which indicate that the two motors can work with the best efficiency while bearing the best demand torque to reduce the vehicle energy consumption. The experimental results of dynamic characteristics of the DRIWM show that the inner and outer motors have fast speed response and the ability of cruise control, which verifies the rationality of the motor structure scheme.
LuD B, OuyangM G, LuL G, et al. Theoretical performance of a new kind of range extended electric vehicle[J]. World Electric Vehicle Journal, 2011, 4(1): 655-661.
[2]
HeR, WangJ C. Vertical vibration control of an in-wheel motor-driven electric vehicle using an in-wheel active vibration system[J]. Asian Journal of Control, 2020, 22(2): 879-896.
WangZhen-po, SunFeng-chun. Analysis of energy consumption distribution and factors of influence in electric vehicles[J]. Transactions of Beijing Institute of Technology, 2004(4): 306-310.
[5]
HoeijmakersM J, RondelM. The electrical variable transmission in a city bus[C]∥ 35th IEEE Power Electronics Specialist Conference, Aachen, Germany, 2004: 2273-2278.
[6]
ErikssonS, SadaranganiC. A four-quadrant HEV drive system[C]∥ 56th Vehicular Technology Conference, Vancouver, Canada, 2002: 1510-1514.
[7]
XuL, ZhangY, WenX. Multioperational modes and control strategies of dual-mechanical-port machine for hybrid electrical vehicles[J]. IEEE Transactions on Industry Applications, 2009, 45(2): 747-755.
ZhuangXing-ming, SongQiang, WenXu-hui, et al. Decoupling control of dual mechanical ports machine with spoke type permanent-magnet arrangement[J]. Proceedings of the CSEE, 2014, 34(33): 5925-5933.
ChenYun-yun, QuanLi, ZhuXiao-yong, et al. Analysis and experimental study on operational modes of a novel stator permanent magnet double rotor motor[J]. Proceedings of the CSEE, 2014, 34(33): 5895-5901.
MoLi-hong, QuanLi, ZhuXiao-yong, et al. Optimal design and experiment of a novel double-rotor machine with PMs in stator[J]. Transactions of China Electrotechnical Society, 2014, 29(9): 74-82.
[14]
XiangZ X, ZhuX Y, QuanL, et al. Multi-level design optimization and operation of a brushless double mechanical ports flux-switching permanent magnet motor[J]. IEEE Transactions on Industrial Electronics, 2016, 63(10): 6042-6054.
ChenLong, ZhuBin, SunXiao-dong, et al. Optimal allocation strategy for multi-motor drive system based on model predictive control[J]. Transactions of the Chinese Society for Agricultural Machinery, 2018, 49(10): 403-409.