Parameters Matching and Simulation on a Hybrid Power System for Electric Bulldozer

Abstract

Abstract. Hybrid power systems, formed by two motors and high-energy-density batteries in appropriate ways, provide high-performances and high-efficiency power for electric bulldozer. This paper firstly constructs the mathematical model of driving motors system based on the design of dual-motor-driving propulsion system for bulldozer. The requirements of several main parameters are analyzed. Secondly, by using the setting values from a bulldozer, simulation work is implemented, and parameters of the hybrid power system are matched, and finally, based on MATLAB/Simulink, dynamic models for the dual-motor-driving hybrid power system is established, and the simulation results are discussed. IntroductionIn recent years, the number of construction machinery is increasing significantly with the social development. The negative effects of the ever-increasing number of construction machinery have adversely impacted both energy sustainability and overall air quality. Even worse, the energy generated from oil yields the lowest energy efficiency, with an approximate rate of only 20%. Consequently, many studies have been undertaken to address these energy issues, especially regarding the utilization of electricity as a viable replacement for oil. Caterpillar in the United States produced a revolutionary D7E electric drive track-type bulldozer with electric-drive system in March, 2008. Compared with internal-combustion driving track-type bulldozers, D7E can yield greater fuel efficiency by nearly 10% to 30%, and at the same time enhance drive train efficiency and take lower life-cycle maintenance costs.Structure of duel-motor-drive electric bulldozer. As showed in fig.1, many parts of mechanical transmission can be cut down for dual-motor-driving electric bulldozer. The paths of electric power and mechanical power are tandem to each other in the series configurations, respectively.

Model predictive control-based energy management strategy for a series hybrid electric tracked vehicle

“…In the above equation, N is the prediction horizon length; w y 39 and w u refers to the weights for the output y and control 40 input u, respectively. 41…”

“…The improvement in fuel economy is provided in Table III. 39 To compensate for the discrepancy between the initial SOE 40 and final SOE, the correction method proposed in [13] is 41 used such that the comparison can be performed. As seen 42 from Table III, the fuel consumption also decreases with an 43 increase of the receding horizon.…”