2017
DOI: 10.1504/ijpt.2017.087892
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Modelling and energy management of an HCCI-based powertrain for series hybrid and extended range electric vehicles

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Cited by 8 publications
(3 citation statements)
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“…The mechanical energy generated by the engine is converted into electric energy due to the function of a certain generator which is in charge of driving the motor. Another research shows that the integration of HCCI and HEV in a series configuration can increase the fuel economy by up to 18.9 percent compared to modern SI engines in the Urban Dynamometer Driving Schedule (UDDS) published by the Environmental Protection Agency [9]. This combination also allows the operating point in the HCCI engine to increase further.…”
Section: Series Hybrid Configurationmentioning
confidence: 99%
“…The mechanical energy generated by the engine is converted into electric energy due to the function of a certain generator which is in charge of driving the motor. Another research shows that the integration of HCCI and HEV in a series configuration can increase the fuel economy by up to 18.9 percent compared to modern SI engines in the Urban Dynamometer Driving Schedule (UDDS) published by the Environmental Protection Agency [9]. This combination also allows the operating point in the HCCI engine to increase further.…”
Section: Series Hybrid Configurationmentioning
confidence: 99%
“…Based on long-distance driving ability, it progressed through rapid development and met the government consumption criteria for indices [50]. Te best alternatives for future road transportation are widely acknowledged [25,37,152]. As shown in Figure 6, an EREV is a simplifed topological construction.…”
Section: Extended-range Electric Vehicle System Design and Powertrain...mentioning
confidence: 99%
“…The strategy of how the energy is then deployed for propulsion is an area of current high interest. There are many different concepts surrounding energy management systems (EMS) including dynamic programming and model predictive control (Solouk and Shahbakhti, 2017), self-adaptive algorithms (Qi et al, 2017) and trip influenced systems (Langari and Won, 2005;Cordiner et al, 2014). On the advent of hybrid vehicles penetrating the market due to the 2032 ruling of UK banning ICE vehicle sales one the biggest challenges is driver behaviour and how to use a hybrid to its maximum efficiency; one study showed that that a driver behaviour could greatly impact the tailpipe emissions of VOC up to a factor of 10, and CO and NOx by up to four times, whilst expending a significant 35% more fuel (Alessandrini et al, 2010).…”
Section: Introductionmentioning
confidence: 99%