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- 저자 : Wu Zhenkuo (검색결과 2 건)
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Han Zhiyu,Wu Zhenkuo,Huang Yongcheng,Shi Yongsheng,Liu Wei 한국자동차공학회 2021 International journal of automotive technology Vol.22 No.6
A study on the design and combustion performance of a new spark-ignition compressed natural gas (CNG) engine for light-duty automotive applications was carried out. The effects of natural gas fuel characteristics on engine design were analyzed in guiding the design of the engine. One-dimensional simulations with added natural gas laminar flame speed data were conducted in upfront to optimize the engine performance with the evaluation of the effects of compression ratio (CR), intake variable valve timing (VVT), and spark timing, etc. The results were validated through engine dyno experiments. It showed the CNG engine’s torque and BSFC could be increased by from 5.2 to 6.6 %, and from 4.6 to 5.7 % , respectively, with increasing the CR from 10.5 to 12. At full engine loads, the intake VVT angles needed re-adjustments for improving the torque output, while the original gasoline-engine adapted VVT resulted in the optimal BSFC under other operation conditions. In additional, the transient emission characteristics of a passenger car powered by the CNG engine were also presented. The CO2 emission of the vehicle under NEDC is 117.32 g/km, which meets China’s 2020 CO2 limit. When equipped with a three-way catalyst, the vehicle can meet the China 6b emission standard.
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RANGE-EXTENDER IN-THE-LOOP METHOD FOR FUEL CONSUMPTION PREDICTION OF HYBRID ELECTRIC VEHICLES
Yongzheng Sun,Zhiyu Han,Jianfeng Chen,Zhenkuo Wu 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.1
In the development of a range-extended electric vehicle, it is necessary to determine the control strategy of the range extender (REX) and evaluate the influence of its performance and operating conditions. In this paper, we propose a range-extender in-the-loop (REIL) method that is used to predict the vehicle fuel consumption more accurately. To develop the REIL method and perform experimental verification, the vehicle plant model, electric-drive control strategy, and REX control strategy are integrated into a vehicle control unit (VCU) for REX control, bench data acquisition, and bench monitoring. The VCU controls the REX to meet the power requirements of the simulated vehicle operations under a given driving cycle. The fuel consumed by the engine and power generated by the integrated starter-and-generator are measured during the tests, which are used in the vehicle fuel consumption calculation. We first describe the methodology and implementation of the REIL, and subsequently discuss the predicted results of a range-extended electric vehicle equipped with a 30 kW REX under the WLTC driving cycle. Comparing the predicted results of the REIL and software simulation methods, it is demonstrated that the REIL method improves the prediction accuracy of vehicle fuel consumption.
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