Similar articles

Abstract: The primary focus of this study is to investigate the control strategies of a hybrid system used in hydraulic excavators. First, the structure and evaluation target of hybrid hydraulic excavators are analyzed. Then the dynamic system model including batteries, motor and engine is built as the simulation environment to obtain control results. A so-called multi-work-point dynamic control strategy, which has both closed-loop speed PI (proportion integral) control and direct torque control, is proposed and studied in the simulation model. Simulation results indicate that the hybrid system with this strategy can meet the power demand and achieve better system stability and higher fuel efficiency.

[1] Bogosyan, S., Gokasan, M., Goering, D.J., 2007. A novel model validation and estimation approach for hybrid serial electric vehicles. IEEE Transactions on Vehicular Technology, 56(4):1485-1497.

[2] Gao, F., Gao,Y., Feng, P.E., 2001. Method of load matching control of hydraulic excavator’s energy saving. Journal of Tongji University (Natural Science), 29(9):1036-1040 (in Chinese).

[3] Gao, Y.M., Ehsani, M., 2006. A torque and speed coupling hybrid drivetrain-architecture, control and simulation. IEEE Transactions on Power Electronics, 21(3):741-748.

[4] He, X.L., Hodgson, J.W., 2002. Modeling and simulation for hybrid electric vehicles—part I: modeling. IEEE Transactions on Intelligent Transportation Systems, 3(4):235-243.

[5] Kagoshima, M., Sora, T., Komiyama, M., 2003. Development of Hybrid Power Train Control System for Excavator. JSAE (Society of Automotive Engineers of Japan) Annual Congress, 86:1-6.

[6] Katrasnik, T., 2007. Hybridization of power train and downsizing of IC engine—a way to reduce fuel consumption and pollutant emissions. Energy Conversion and Management, 48(5):1411-1423.

[7] Plett, G.L., 2004. Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs. Journal of Power Source, 134(2):262-276.

[8] Schouten, N.J., Salman, M.A., Kheir, N.A., 2002. Fuzzy logic control for parallel hybrid vehicles. IEEE Transactions on Control Systems Technology, 10(3):460-468.

[9] Takao, N., Etsujiro, I., Masayuki, K., 2004. Power simulation for energy saving in hybrid excavator. Transaction of JSAE, 35(4):101-106.

[10] Wang, Q.F., Zhang, Y.T., Xiao, Q., 2005. Evaluation for energy saving effect and simulation research on energy saving of hydraulic system in hybrid construction machinery. Chinese Journal of Mechanical Engineering, 41(12):135-140 (in Chinese).

[11] Xiao, Q., Wang, Q.F., Zhang, Y.T., 2007. Study on modeling and control strategy of hybrid system in hydraulic excavator. Journal of Zhejiang University (Engineering Science), 41(3):480-483, 528 (in Chinese).

[12] Yang, W., 2006. The Design of HEV Communication System Based on J1939 Protocol. M.S. Thesis, Dongbei University, Shenyang, p.23-36 (in Chinese).

[13] Zhang, H., Zhu, Y., Tian, G., Chen, Q., Chen, Y., 2004. Optimal energy management strategy for hybrid electric vehicles. SAE Transactions: Journal of Engines, 113(3):408-417.

[14] Zhu, Y., Chen, Y., Tian, G., Wu, H., Chen, Q., 2004. A Four-Step Method for Designing an Energy Management Strategy for Hybrid Vehicles. Proceeding of the 2004 American Control Conference. Boston, Massachusetts, p.156-161.

[15] Zhu, Y., Chen, Y., Wu, Z., Wang, A., 2006. Optimization design of an energy management strategy for hybrid electric vehicles. International Journal of Alternative Propulsion, 1(1):47-62.