Ambient Temperature Effects on Battery Electric Vehicle

2020 ◽  
Author(s):  
Yiqun Liu ◽  
Y. Gene Liao ◽  
Ming-Chia Lai

Abstract The driving range of an electric vehicle depends on the vehicle weight, road load conditions, battery capacity, and battery performance. The battery rated capacity and its characteristics could be heavily affected by the ambient temperature. This paper investigates the effects of ambient temperature on the electric vehicle driving range, equivalent fuel economy, and performance. A production-type battery electric vehicle is modeled and simulated in the AVL-Cruise platform using semi-empirical data. The modeled vehicle battery pack consists of 20Ah Lithium-Nickel-Manganese-Cobalt-Oxide (LiNiMnCoO2) cells. The battery cell characteristics are experimentally measured to build the battery pack model. The simulated driving range and equivalent fuel economy are correlated with the published information as vehicle model validation. Series of simulations on driving cycles (UDDS, HWFET, US06, and WLTP) with across a broad range of ambient temperatures are conducted to investigate the quantified effects of ambient temperature on driving range, equivalent fuel economy, and vehicle performance. Simulation results show that driving range and fuel economy are much reduced to 70% at low ambient temperature. Driving range and fuel economy are almost not affected by high ambient temperature, such as 50 C, since this model does not include accessory load of thermal management. The vehicle performance is almost not affected by the ambient temperature.

2019 ◽  
Vol 141 (03) ◽  
pp. S08-S15
Author(s):  
Guoming G. Zhu ◽  
Chengsheng Miao

Making future vehicles intelligent with improved fuel economy and satisfactory emissions are the main drivers for current vehicle research and development. The connected and autonomous vehicles still need years or decades to be widely used in practice. However, some advanced technologies have been developed and deployed for the conventional vehicles to improve the vehicle performance and safety, such as adaptive cruise control (ACC), automatic parking, automatic lane keeping, active safety, super cruise, and so on. On the other hand, the vehicle propulsion system technologies, such as clean and high efficiency combustion, hybrid electric vehicle (HEV), and electric vehicle, are continuously advancing to improve fuel economy with satisfactory emissions for traditional internal combustion engine powered and hybrid electric vehicles or to increase cruise range for electric vehicles.


2012 ◽  
Vol 253-255 ◽  
pp. 2097-2101
Author(s):  
Jun Hong Zhang ◽  
Feng Lai Yue ◽  
Neng Hui Zhou ◽  
Chun Ming Zhao

This article mainly introduces parameter design principle of pure electric vehicle power train. The model of a pure electric vehicle is established in CRUISE. Given motor system and battery system, vehicle performance on various transmission ratio was analyzed and the optimal ratio of transmission was determined. Dynamic performances and driving range of the vehicle was tested, which indicate that the error is smaller than 5% between calculated results and test datum. The rationality of established model is verified. The vehicle driving system meet the research targets, which has good dynamic performance and driving range.


2012 ◽  
Vol 512-515 ◽  
pp. 2629-2632
Author(s):  
Jun Wei Li ◽  
Jing Chen ◽  
Yu Hai Wang

Based on the vehicle dynamic model and it’s parameters, the drive train arrangement is chosen composed of power batteries, an electric motor and transmission, and the components’ performance parameters are determined according to the design requirement of performance indexes. The model of the electric vehicle is built, and the simulation and analysis of vehicle performance indexes, such as the ability to accelerate, top speed, climbing performance and the driving range, are conducted. The simulation results show that the performance index of the electric vehicle can fully meet the design requirement.


2021 ◽  
Vol 21 (1) ◽  
pp. 52-59
Author(s):  
Khaled Atamnia ◽  
Abdesselam Lebaroud ◽  
Saikat Adikari

Abstract This paper deals with the forward-looking model of an electric vehicle (EV). Various simulation tests have been conducted to investigate the effects of the environmental conditions and powertrain design on the EV driving range. The simulation results show the importance of the forward modeling approach in selecting the EV components such as the battery capacity, the power and torque limits of the electric motor, and the impact of this selection on the EV performance during different driving cycles. The simulation results manifest that the forward model is useful when scaling the battery pack to determine the maximum capacity and selecting the suitable motor power and its size. The characteristics of the General Motor EV1 model have been selected in this study to verify the proposed approach.


2021 ◽  
Vol 40 ◽  
pp. 01007
Author(s):  
Binsy Joseph ◽  
Deepak Vishnu Bhoir

Electric vehicle plays a significant role, in the future transportation across the world. EV has the potential to reduce air pollution and emission of Greenhouse gasses significantly compared to the existing fossil-fuel-based vehicles. Even though substantial progress can be expected in the area of embarked energy storage technologies, charging infrastructure, customer acceptance of Electric Vehicles is still limited due to the problems of Driving range anxiety and long battery charging time. We can solve most of these problems with the infrastructure development ,optimum sizing and design of the vehicle components and extensive study on vehicle dynamics under various real-time driving conditions. This research focuses on the Matlab software based co-simulation of Electric Vehicle system, including the battery pack and motor, to predict the vehicle performance parameters like driving range, efficiency, power requirement, and energy characteristics under different driving scenarios. The vehicle’s acceleration performance, energy consumption, and efficiency are determined by simulation and verified analytically. Using ADVISOR software the fuel economies and tail pipe emission for various vehicle models are determined by simulation and results are compared with Hybrid Electric vehicle models.


2018 ◽  
Vol 4 (1) ◽  
pp. 184-189
Author(s):  
Spencer E. Vore ◽  
Mark Kosowski ◽  
Michael L. Reid ◽  
Zachary Wilkins ◽  
Joseph Minicucci ◽  
...  

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