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Simulations of Electric Vehicle Driving Range and Battery Aging Using Experimental Data
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作者 Yiqun Liu 《Journal of Transportation Technologies》 2023年第3期369-388,共20页
Driving range and battery aging, which are two important topics considered by consumers when purchasing an electric vehicle, are studied in this research. This research started with experiments on LiNiMnCoO<sub>... Driving range and battery aging, which are two important topics considered by consumers when purchasing an electric vehicle, are studied in this research. This research started with experiments on LiNiMnCoO<sub>2</sub> battery cells. Experimental results of discharging voltage, OCV, and internal resistance are obtained under different ambient temperatures. Cycle aging of battery cells is also investigated by experiments. The obtained experimental data is used to develop the battery pack model in the electric vehicle model as well as the battery aging model. The developed electric vehicle model is used to investigate electric vehicle’s driving range. Within the ambient temperature range between -30°C to 50°C, the driving range decreases with the ambient temperature. The driving range can also be heavily reduced by high-speed and aggressive driving. By using the developed battery aging model, cycle aging of the onboard battery of an electric vehicle after its 15,000-hour usage is investigated. Simulation results show that battery cell has a quicker cycle aging process under higher ambient temperatures. Large discharging and charging currents involved in aggressive driving can also accelerate battery aging. In addition, cycle aging of the onboard battery will be accelerated if the battery is almost used up before recharging every time. This research presents a novel approach to studying the driving range and battery aging of electric vehicles and includes valuable results for automotive engineers and consumers of electric vehicles. 展开更多
关键词 Lithium-Ion battery battery state estimation Powertrain Electrification
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Development and Verification of the Equilibrium Strategy for Batteries in Electric Vehicles 被引量:2
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作者 Rui Xiong Yanzhou Duan 《Journal of Beijing Institute of Technology》 EI CAS 2018年第1期22-28,共7页
The inconsistency of the cells in a battery pack can affect its lifespan,safety and reliability in the electric vehicles. The balanced system is an effective technique to reduce its inconsistency and improve the opera... The inconsistency of the cells in a battery pack can affect its lifespan,safety and reliability in the electric vehicles. The balanced system is an effective technique to reduce its inconsistency and improve the operating performance. A hybrid equilibrium strategy based on decision combing battery state-of-charge( SOC) and voltage has been proposed. The battery SOC is estimated through an improved least squares method. An equalization hardware in loop( HIL) platform has been constructed. Based on this HIL platform,equilibrium strategy has been verified under the constant-current-constant-voltage( CCCV) and dynamicstresstest( DST) conditions. Experimental results indicate that the proposed hybrid equalization strategy can achieve good balance effect and avoid the overcharge and over-discharge of the battery pack at the same time. 展开更多
关键词 electric vehicles battery pack state estimation hardware in loop equalization strategy
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