Electric Vehicle Test Procedure

1976 ◽  
Author(s):  
Author(s):  
Tao Deng ◽  
Ke Zhao ◽  
Haoyuan Yu

In the process of sufficiently considering fuel economy of plug-in hybrid electric vehicle (PHEV), the working time of engine will be reduced accordingly. The increased frequency that the three-way catalytic converter (TWCC) works in abnormal operating temperature will lead to the increasing of emissions. This paper proposes the equivalent consumption minimization strategy (ECMS) to ensure the catalyst temperature of PHEV can work in highly efficient areas, and the influence of catalyst temperature on fuel economy and emissions is considered. The simulation results show that the fixed equivalent factor of ECMS has great limitations for the underutilized battery power and the poor fuel economy. In order to further reduce fuel consumption and keep the emission unchanged, an equivalent factor map based on initial state of charge (SOC) and vehicle mileage is established by the genetic algorithm. Furthermore, an Adaptive changing equivalent factor is achieved by using the following strategy of SOC trajectory. Ultimately, adaptive equivalent consumption minimization strategy (A-ECMS) considering catalyst temperature is proposed. The simulation results show that compared with ordinary ECMS, HC, CO, and NOX are reduced by 14.6%, 20.3%, and 25.8%, respectively, which effectively reduces emissions. But the fuel consumption is increased by only 2.3%. To show that the proposed method can be used in actual driving conditions, it is tested on the World Light Vehicle Test Procedure (WLTC).


Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 62 ◽  
Author(s):  
Jan Kleiner ◽  
Lidiya Komsiyska ◽  
Gordon Elger ◽  
Christian Endisch

In electric vehicles with lithium-ion battery systems, the temperature of the battery cells has a great impact on performance, safety, and lifetime. Therefore, developing thermal models of lithium-ion batteries to predict and investigate the temperature development and its impact is crucial. Commonly, models are validated with experimental data to ensure correct model behaviour. However, influences of experimental setups or comprehensive validation concepts are often not considered, especially for the use case of prismatic cells in a battery electric vehicle. In this work, a 3D electro–thermal model is developed and experimentally validated to predict the cell’s temperature behaviour for a single prismatic cell under battery electric vehicle (BEV) boundary conditions. One focus is on the development of a single cell’s experimental setup and the investigation of the commonly neglected influences of an experimental setup on the cell’s thermal behaviour. Furthermore, a detailed validation is performed for the laboratory BEV scenario for spatially resolved temperatures and heat generation. For validation, static and dynamic loads are considered as well as the detected experimental influences. The validated model is used to predict the temperature within the cell in the BEV application for constant current and Worldwide harmonized Light vehicles Test Procedure (WLTP) load profile.


2011 ◽  
Vol 55-57 ◽  
pp. 512-516
Author(s):  
Jun Liu ◽  
Li Fang Wang

The devious but steady increase in the price of petroleum along with concerns about emissions of greenhouse gases, presents renewable energy sources as promising solutions. So, either enterprises or research institutions zealously take part in new energy automobile development for more and more serious energy and environment problems. Whatever, variable and dynamic loads are required in order to satisfying variable working conditions in the electric vehicle (EV) experiments of the traffic. The scheme of power electronic impendence converter which adopts bi-direction DC-DC topology base on ultra-capacitor (UC) is brought forward to satisfy bi-direction power train in experiments. When UC is charged, the system is look upon as positive load. On the other hand, if UC is discharged, the system is look upon as negative load. Impendence converting can be implemented by controlling converter’s duty cycle and operating condition. Then, the load torque is simulated by changing the variable load’s value. At last, the experiments show that the scheme is feasible and cost-efficiency.


2021 ◽  
Vol 12 (3) ◽  
pp. 119
Author(s):  
Li Lv ◽  
Xi Li

The corporate average fuel consumption (CAFC) and new energy vehicle (NEV) credit policy (2021–2023) was officially released in June 2020. As a mandatory regulation for automobile manufacturers to produce new energy vehicles, its impact on the output of new energy vehicles needs to be systematically evaluated. In this study, we build an enterprise policy compliance model to simulate the dual-credit policy requirements for the production of new energy vehicles from 2021 to 2023 under different scenarios. The results show that the production of new energy vehicles from 2021 to 2023 is required to reach 1.78 to 3.97 million under different scenarios. Three factors, i.e., switching from New Europe Driving Cycle (NEDC) to World Light Vehicle Test Procedure (WLTP) fuel consumption improvement of conventional vehicles, and credit per new energy vehicle, have a more significant impact on the new energy vehicle production than others. Under the minimum guarantee scenario, a 10% change in the above three factors will lead to a 2.5%, 1.5%, and 0.5% reduction in the production requirement for new energy vehicles.


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