Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle

Mansour, Charbel; Nader, Wissam Bou; Brèque, Florent; Haddad, Marc; Nemer, Maroun

doi:10.1016/j.trd.2018.02.012

Cited by 37 publications

(17 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The new WLTP is a holistic testing approach whereby the drive cycles replicate a realistic on-road drive cycle, with higher average speeds, longer distances, in addition to the CO 2 performance of new vehicles registered in September 2018 onwards. Mansoura et al (2018) recognise the discrepancies in the method used to measure energy consumption in comparison to actual values. The aforementioned study presents an assessment framework to consider the energy required to heat and cool the cabin space in addition to auxiliary electrical requirements under the new WLTP.…”

Section: Introductionmentioning

confidence: 99%

Energy consumption and modelling of the climate control system in the electric vehicle

Doyle

Muneer

2018

Energy Exploration & Exploitation

View full text Add to dashboard Cite

With the introduction of electric vehicles in the automobile market, limited information is available on how the battery's energy consumption is distributed. This paper focuses on the energy consumption of the vehicle when the heating and cooling system is in operation. On average, 18 and 14% for the battery's energy capacity is allocated to heating and cooling requirements, respectively. The conventional internal combustion engine vehicle uses waste heat from its engine to provide for passenger thermal requirements at no cost to the vehicle's propulsion energy demands. However, the electric vehicle cannot avail of this luxury to recycle waste heat. In order to reduce the energy consumed by the climate control system, an analysis of the temperature profile of a vehicle's cabin space under various weather conditions is required. The present study presents a temperature predicting algorithm to predict temperature under various weather conditions. Previous studies have limited consideration to the fluctuation of solar radiation space heating to a vehicle's cabin space. This model predicts solar space heating with a mean bias error and root mean square error of 0.26 and 0.57 C, respectively. This temperature predicting model can potentially be developed with further research to predict the energy required by the vehicle's primary lithium-ion battery to heat and cool the vehicle's cabin space. Thus, this model may be used in a route planning application to reduce range anxiety when drivers undertake a journey under various ambient weather conditions while optimising the energy consumption of the electric vehicle.

show abstract

Section: Introductionmentioning

confidence: 99%

Energy consumption and modelling of the climate control system in the electric vehicle

Doyle

Muneer

2018

Energy Exploration & Exploitation

View full text Add to dashboard Cite

show abstract

“…Using these notations, the HVAC system model can be formalized by Equation (6), where f is a non linear equation requiring numerical solving:…”

Section: Hvac System Description and Modelingmentioning

confidence: 99%

“…Some authors successfully customized passenger comfort by integrating a learning module [3,4]. In order to assess the effectiveness of these approaches, some authors have compared them to off-line optimal control methods like dynamic programming [5][6][7] and the minimum principle of Pontryagin [8]. In the second category of on-line approaches, the model predictive control model (MPC) is practically the only optimal algorithm that has been studied for HVAC control.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time Approach for Thermal Comfort Management in Electric Vehicles

et al. 2020

View full text Add to dashboard Cite

The HVAC system represents the main auxiliary load in electric vehicles, but passengers’ thermal comfort expectations are always increasing. Hence, a compromise is needed between energy consumption and thermal comfort. The present paper proposes a real-time thermal comfort management strategy that adapts the thermal comfort according to the energy available for operating the HVAC system. The thermal comfort is evaluated thanks to the “Predicted Mean Vote”, representative of passenger’s thermal sensations. Based on traffic and weather predictions for a given trip, the algorithm first estimates the energy required for the traction and the energy available for thermal comfort. Then, it determines the best thermal comfort that can be provided in these energetic conditions and controls the HVAC system accordingly. The algorithm is tested for a wide variety of meteorological and traffic scenarios. Results show that the energy estimators have a good accuracy. The absolute relative error is about 1.7% for the first one (traction), and almost 4.1% for the second one (thermal comfort). The effectiveness of the proposed thermal comfort management strategy is assessed by comparing it to an off-line optimal control approach based on dynamic programming. Simulation results show that the proposed approach is near-optimal, with a slight increase of discomfort by only 3%.

show abstract

“…The actual fuel consumption, and thus its emission of pollutants into the atmosphere while driven on the road, depends to a large extent on individual driving behavior [49,50], route characteristics [51], traffic flow [52], vehicle load, and external circumstances [53,54], such as temperature, air resistance, and acceleration [55,56]. Analyses of the results of measurements and tests presented in the literature allow the assessment of the impact of the transported cargo on the road emission parameters [57,58].…”

Section: Introductionmentioning

confidence: 99%

Toxicity of Exhaust Fumes (CO, NOx) of the Compression-Ignition (Diesel) Engine with the Use of Simulation

et al. 2019

View full text Add to dashboard Cite

Nowadays more and more emphasis is placed on the protection of the natural environment. Scientists notice that global warming is associated with an increase of carbon dioxide emissions, which results inter alia from the combustion of gasoline, oil, and coal. To reduce the problem of pollution from transport, the EU is introducing increasingly stringent emission standards which should correspond to sustainable conditions of the environment during the operation of motor vehicles. The emissivity value of substances, such as nitrogen oxides (NOx), hydrocarbons (HC), carbon monoxide (CO), as well as solid particles, was determined. The aim of this paper was to examine, by means of simulation in the Scilab program, the exhaust emissions generated by the 1.3 MultiJet Fiat Panda diesel engine, and in particular, carbon monoxide and nitrogen oxides (verified on the basis of laboratory tests). The Fiat Panda passenger car was selected for the test. The fuels supplied to the tested engine were diesel and FAME (fatty acid methyl esters). The Scilab program, which simulated the diesel engine operation, was the tool for analyzing the exhaust toxicity test. The combustion of biodiesel does not necessarily mean a smaller amount of exhaust emissions, as could be concluded on the basis of information contained in the subject literature. The obtained results were compared with the currently valid EURO-6 standard, for which the limit value for CO is 0.5 g/km, and for NOx − 0.08 g/km, and it can be seen that the emission of carbon monoxide did not exceed the standards in any case examined. Unfortunately, when analyzing the total emissions of nitrogen oxides, the situation was completely the opposite and the emissions were exceeded by 20–30%.

show abstract

Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle

Cited by 37 publications

References 18 publications

Energy consumption and modelling of the climate control system in the electric vehicle

Energy consumption and modelling of the climate control system in the electric vehicle

A Real-Time Approach for Thermal Comfort Management in Electric Vehicles

Toxicity of Exhaust Fumes (CO, NOx) of the Compression-Ignition (Diesel) Engine with the Use of Simulation

Contact Info

Product

Resources

About