逆向差速齒輪式動力整合分配機構系統開發與動力控制策略之驗證

Development Powertrain System and Verify Control strategy of an Inverse-Differential-Gear of a Hybrid Electric System

黃柏皓(Po-Hao Huang)

指導教授 ： 黃國修

國立臺北科技大學/機電學院/車輛工程系所/碩士(2013年)

https://doi.org/10.6841/NTUT.2013.00357

摘要

本研究探討動力控制策略及分析複合電動系統整體性能，將具體的控制策略使用MotoTron控制器建構出一組動力系統控制單元PMU(Power Management Unit)針對個別的動力單元進行動力分配。動力控制系統以駕駛者動力需求為參考輸入，採用以條件法則為基礎之控制策略，決定電動馬達、發電機與內燃機的動力分配，使內燃機一直處於最佳與次佳效率區域運轉。系統採用內燃機引擎與電動馬達作為系統動力源，利用逆向差速齒輪式動力整合分配機構將兩者結合，並針對各模式切換之暫態現象進行策略編寫使內燃機及電動馬達達到較穩定的動力輸出。程式策略流程設計使用Matlab/Simulink軟體以模組化方式建立各系統控制模組，並依據ECE40與NEDC2000行車型態進行驗證，並針對其結果加以分析探討。
本系統研究成果，成功的將複合動力系統油耗降低至20km/l，且皆符合行車動力需求。

關鍵字

複合電動系統 ； 動力控制策略 ； 逆向差速齒輪 ； 策略驗證

並列摘要

This research discussed the power control strategy and analyzed the performance of hybrid electric system. The specific control strategy use MotorTron build an Energy Management Unit (EMU) to determine the distribution of energy in each power unit. Power management system took the driver command as reference input, used the rule-based control strategy to determine the power distribution among Electric Motor (EM), generator and Internal Combustion Engine (ICE) to keep ICE always operate in the most optimal or secondly efficiency area. System used ICE and EM as the power source integrated and combined by inverse differential gear. On the vibration phenomenon of each switching point build transient mode strategy let ICE and EM get more stable output. The PMU program used Matlab/simulink software to make up a control modular system component. According to ECE40 and NEDC2000 pattern verification the power control strategy and analysis vehicle dynamics result.

並列關鍵字

Hybrid Electric System ； Power Control strategy, Inverse Differential Gear ； Control Strategy verification.

參考文獻

2. 中華人民共和國國務院，節能與新能源汽車產業發展規劃，2012─2020年。

4. S. Sasaki, "Toyota's newly developed hybrid powertrain," Power Semiconductor Devices and ICs, 1998, pp. 17-22.

5. B. K. Powell, K.E. Bailey and S.R. Cikanek, "Dynamic modeling and control of hybrid electric vehicle powertrain systems," IEEE Control Systems, Vol. 18, 1998, pp. 17-33.

6. C. C. Lin, Z. Filipi, Y. Wang, L. Louca, H. Peng, J. Assanis and J. Stein, "Integrated, Feed-Forward Hybrid Electric Vehicle Simulation in SIMULINK and its Use for Power Management Studies," SAE Technical Paper Series, no. 2001-01-1334.

7. N. J. Schouten, M. A. Salman, and N. A. Kheir, "Energy management strategies for parallel hybrid vehicles using fuzzy logic," Control Engineering Practice, vol. 11, 2003, pp. 171-177.