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This paper introduces a systematic problem, which investigates the power management for the range-extended electric bus using dynamic programming. The Chinese typical city bus driving cycle and the bus driving cycle of Harbin City, Heilongjiang Province, China are expressed as the driving cycles in the DP process. The simulation model is established by referring to parameters of the REEB which is developed by Tsinghua University. And the power split ratio is introduced to analysis the simulation result. The DP results shows that the working points shows obvious rule by referring to power split ratio. The energy consumption and the fuel consumption are significantly lower than the conventional bus.I.

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Abstract:In this paper, an evaluation method for energy consumption comparison of plug-in hybrid electric vehicle (PHEV) and the result of energy consumption comparison of two PHEVs are presented based on trip characteristics of passenger vehicles in Harbin, China. Trip characteristics including daily vehicle kilometre travelled distribution, daily vehicle frequency travelled distribution and travel time distribution have been performed for comparison analysis. For a common use of two PHEVs with similar configuration, the work mode has a great difference. As a consequence, daily vehicle kilometre travelled in Harbin is 28.44 km, daily vehicle frequency travelled is 2.69 times and daily vehicle time travelled is 101.96 min. Furthermore, users' travel requirements with different all electric range and the different operation cost between two typical PHEVs were obtained. It was found that the comprehensive fuel consumption of the two PHEVs is 3.69 and 2.73 L/100km, respectively. Compared with Prius plug-in, integrated fuel consumption of Volt is reduced by 26.02% under Harbin trip characteristics.Keywords: PHEV; plug-in hybrid electric vehicle; trip characteristics; all electric range; operation cost; comprehensive fuel consumption.Reference to this paper should be made as follows: Wu, X., Chen, H. and Demenkov, N.P. (2016)

The transmission and storage of electric vehicle battery management system (BMS) data are time consuming and infeasible, which reduces the efficiency of data transmission and storage. For this problem, this paper presents a method of battery data compression, the pre-compression is to reduce the amount of data and improve the data redundancy and repeatability, and a strategy was formulated that two universal compression methods, Huffman coding and run-length coding, were applied to different battery data. Experimental results show the method of battery data compression can obtain a good compressibility. The battery data compressibility of this paper was about 21%.