Browse > Article

RESISTANCE ESTIMATION OF A PWM-DRIVEN SOLENOID  

Jung, H.G. (Mando Central R&D Center)
Hwang, J.Y. (Mando Central R&D Center)
Yoon, P.J. (Mando Central R&D Center)
Kim, J.H. (School of Electrical and Electronic Engineering, Yonsei University)
Publication Information
International Journal of Automotive Technology / v.8, no.2, 2007 , pp. 249-258 More about this Journal
Abstract
This paper proposes a method that can be used for the resistance estimation of a PWM (Pulse Width Modulation)-driven solenoid. By using estimated solenoid resistance, the PWM duty ratio was compensated to be proportional to the solenoid current. The proposed method was developed for use with EHB (Electro-Hydraulic Braking) systems, which are essential features of the regenerative braking system of many electric vehicles. Because the HU (Hydraulic Unit) of most EHB systems performs not only ABS/TCS/ESP (Electronic Stability Program) functions but also service braking function, the possible duration of continuous solenoid driving is so long that the generated heat can drastically change the level of solenoid resistance. The current model of the PWM-driven solenoid is further developed in this paper; from this a new resistance equation is derived. This resistance equation is solved by using an iterative method known as the FPT (fixed point theorem). Furthermore, by taking the average of the resistance estimates, it was possible to successfully eliminate the effect of measurement noise factors. Simulation results showed that the proposed method contained a sufficient pass-band in the frequency response. Experimental results also showed that adaptive solenoid driving which incorporates resistance estimations is able to maintain a linear relationship between the PWM duty ratio and the solenoid current in spite of a wide variety of ambient temperatures and continuous driving.
Keywords
Estimation algorithm; Electrical driving; Electro-hydraulic system; Automotive braking control;
Citations & Related Records

Times Cited By Web Of Science : 3  (Related Records In Web of Science)
Times Cited By SCOPUS : 4
연도 인용수 순위
1 Burden, R. L. and Faires, J. D. (2001). Numerical Analysis. Brooks/Cole. CA. USA
2 Gao, Y. and Ehsani, M. (2002). Electronic braking system of EV and HEV-Integration of regenerative braking, automatic braking force control and ABS. SAE Paper No. 2001-01-2478
3 Vaughan, N. D. and Gamble, J. B. (1996). The modeling and simulation of a proportional solenoid valve. J. Dynamic Systems, Measurement and Control, Trans. ASME, 118, March, 120-125   DOI
4 Key, S. M. (1993). Fundamentals of Statistical Signal Processing, I: Estimation Theory. Prentice Hall. New Jersey. 193-195
5 Nakamura, E., Soga, M., Sakai, A., Otomo, A. and Kobayashi, T. (2002). Development of electronically controlled brake system for hybrid vehicle. SAE Paper No. 2002-01-0300
6 Sakai, A. (2005). The regenerative braking system. Auto-Technology, 5, February, 60-61
7 Verseveld, R. B. and Bone, G. M. (1997). Accurate position control of pneumatic actuator using on/off solenoid valves. IEEE/ASME Trans. Mechatronics 2, 3, 195-204   DOI   ScienceOn
8 Petruccelli, L., Velardocchia, M. and Sorniotti, A. (2003). Electro-hydraulic braking system modeling and simulation. SAE Paper No. 2003-01-0324
9 Yaegashi, T. (2005). The history of hybrid technology. AutoTechnology, 5, February, 8-12
10 Rueter, D. F., Lloyd, E. W., Zehnder, J. W. and Elliott, J. A. (2003). Hydraulic design considerations for EHB systems. SAE Paper No. 2003-01-0324
11 Choi, S. H., Lee, J. G. and Hwang, I. Y. (2003). New generation ABS using linear flow control and motor speed control. SAE Paper No. 2003-01-0254