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SimulinkÈ°¿ë Àüµ¿½Ä Àü±âÂ÷¿¡ ´ëÇÑ Å¸À̾î-·Îµå ¸¶Âû ÃßÁ¤ ¹× Æ®·¢¼Ç Á¦¾î¿¬±¸(Tire-road friction estimation and traction control st
SimulinkÈ°¿ë Àüµ¿½Ä Àü±âÂ÷¿¡ ´ëÇÑ Å¸À̾î-·Îµå ¸¶Âû ÃßÁ¤ ¹× Æ®·¢¼Ç Á¦¾î¿¬±¸(Tire-road friction estimation and traction control st
  • ÀúÀÚLi-Qiang Jin, Mingze Ling, Weiqiang Yue Àú
  • ÃâÆÇ»ç¾ÆÁø
  • ÃâÆÇÀÏ2020-07-14
  • µî·ÏÀÏ2020-12-21
º¸À¯ 1, ´ëÃâ 0, ¿¹¾à 0, ´©Àû´ëÃâ 9, ´©Àû¿¹¾à 0

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In this paper, an optimal longitudinal slip ratio system for real-time identification
of electric vehicle (EV) with motored wheels is proposed based on the adhesion
between tire and road surface. First and foremost, the optimal longitudinal slip
rate torque control can be identified in real time by calculating the derivative and
slip rate of the adhesion coefficient. Secondly, the vehicle speed estimation method
is also brought. Thirdly, an ideal vehicle simulation model is proposed to verify the
algorithm with simulation, and we find that the slip ratio corresponds to the
detection of the adhesion limit in real time. Finally, the proposed strategy is
applied to traction control system (TCS). The results showed that the method can
effectively identify the state of wheel and calculate the optimal slip ratio without
wheel speed sensor; in the meantime, it can improve the accelerated stability of
electric vehicle with traction control system (TCS).

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Á¦ 1Æí : SIMULINK ±âº»Æí
1.1 SIMULINKÀÇ ½ÃÀÛ 1
ºí·ÏÀÇ ¿¬°á 5
ºí·Ï ÆĶó¹ÌÅÍÀÇ ¼³Á¤ 7
½Ã¹Ä·¹À̼ǠÆĶó¹ÌÅÍ (Configuration Parameters)ÀÇ ¼³Á¤ 8
½Ã¹Ä·¹À̼ÇÀÇ ¼öÇà 9
ºí·Ï ÆĶó¹ÌÅÍÀǠǥ½Ã 9
º¹¼ö µ¥ÀÌÅÍÀǠǥ½Ã 11
2.2 µ¿Àû ½Ã¹Ä·¹À̼Ǡ13
ÀÌÂ÷ ¹ÌºÐ¹æÁ¤½Ä 17
¼±Çü »óź¯¼ö ¸ðµ¨ 23
DC ¸ðÅÍÀÇ ½Ã¹Ä·¹À̼Ǡ24
ÇÔ¼ö ºí·ÏÀÇ »ç¿ë 29
Â÷ºÐ¹æÁ¤½Ä(difference equation)ÀÇ ¸ðµ¨¸µ 34
Subsystem(ºÎ½Ã½ºÅÛ)ÀÇ ±¸¼º 37
Á¦ 2Æí : ¿¬±¸³í¹®
Tire-road friction estimation and traction control strategy for
motorized electric vehicle
1. Introduction 41
2. Estimation of optimum slip ratio on driving roads in real-time 43
3. Typical simulation experiments and results 48
4. Road test 49
5. Conclusion 53
6. References 57

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