In the drive system for a permanent magnet synchronous motor (PMSM) used in electric vehicles, optimization strategies such as maximum torque per ampere (MTPA) are often applied to optimize the motor’s operating efficiency. However, the optimization methods based on offline data look-up table and motor parameter identification are difficult to cope with the challenges of motor parameter saturation and permanent magnet temperature change at the same time. In this paper, a method of synchronous compensation of electromagnetic torque and optimal current angle based on data-driven model is proposed. First, a response surface model of flux linkage is established based on the multi-temperature offline data, and a wide-temperature torque model of the motor is obtained by combining the online status information with the offline model through the least square identification of flux linkage error parameters. Then, the electromagnetic torque compensation and online current angle optimization are realized based on this model. Finally, experimental results show that under the premise that the response speed of the proposed method is not inferior to that of the lookup table method, the novel method allows the PMSM to obtain better electromagnetic torque accuracy and torque per ampere over the wide temperature range.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |