scholarly journals Life Prediction Method of Power Battery for New Energy Vehicle

CONVERTER ◽  
2021 ◽  
pp. 635-642
Author(s):  
Guanqiang Ruan, Jinliang Cao, Xing Hu
Keyword(s):  
Life Prediction ◽  
Evaluation Method ◽  
Prediction Method ◽  
Battery Life ◽  
Degradation Data ◽  
Power Battery ◽  
New Energy ◽  
Life Model ◽  
New Energy Vehicle ◽  
Failure Life

Battery life is a key factor restricting the development of new energy vehicle manufacturing industry.Taking a LiMn2O4 power battery as an example, the life prediction method of power battery based on performance degradation data was studied. It is found that the capacity of the battery basically conforms to the decline trajectory of the power function, and the pseudo failure life of the battery is extrapolated by using the decline model. The distribution of pseudo failure life is studied, and the results are consistent with the fitting effect of Weibull distribution. Finally, the reliability of the battery is evaluated based on Weibull life distribution. This paper analyzes the influence of the actual cycle data on the prediction accuracy. The test results show that the life model and reliability evaluation method have high accuracy, and solve the problems of long life evaluation cycle and high cost of power battery.

Government subsidies in the power battery recycling industry

2020 ◽  
Vol 120 (6) ◽  
pp. 1059-1083 ◽  
Author(s):  
Peiqi Ding ◽  
Zhiying Zhao ◽  
Xiang Li
Keyword(s):  
Peer Review ◽  
Vital Role ◽  
Raw Material ◽  
Third Party ◽  
Content Type ◽  
Recycling Industry ◽  
Power Battery ◽  
New Energy ◽  
New Energy Vehicle ◽  
Collection Strategies

PurposeThe power battery is the core of a new energy vehicle and plays a vital role in the rise of the new energy vehicle industry. As the number of waste batteries increases, firms involved in the industry need to properly dispose them, but what party is responsible remains unclear. To reduce environmental impacts, governments introduce two subsidy policies, i.e. collection subsidies, which are provided to the collecting firms, and dismantling subsidies, which are provided to the dismantling firms.Design/methodology/approachBased on the different characteristics of the subsidies, we develop a stylized model to examine the collection strategies and the preferences over the subsidies.FindingsWe derive several insights from analysis. First, the collection strategies depend on the fixed collection cost. Second, the key factor determining the firm's subsidy preference is the efficiency of dismantling. Finally, if the primary target is the collection rate, governments prefer to provide collection subsidies. If consider the environmental impact, the choice of subsidies has to do with the efficiency of dismantling. Moreover, from a social welfare perspective, the raw material cost and the efficiency of dismantling are core indicators of decision.Originality/valueThis work develops the first analytical model to study two power battery subsidies and investigate the optimal collecting strategies and subsidy preferences. The insights are compelling not only for the manufacturer and the third party but also for policymakers.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IMDS-08-2019-0450

scholarly journals Research on Online Insulation Testing of Power Battery of New Energy Vehicles

2021 ◽  
Vol 10 (01) ◽  
pp. 001-005
Author(s):  
Yuan Xu ◽  
Huazhang Wang ◽  
Jiacheng Li
Keyword(s):  
Detection System ◽  
Experimental Results ◽  
Normal Operation ◽  
Python Language ◽  
Power Battery ◽  
New Energy ◽  
Injection Type ◽  
New Energy Vehicle ◽  
Insulation Performance ◽  
New Energy Vehicles

The insulation performance of new energy vehicles is an important factor in the normal operation of vehicles. This paper designs a voltage injection-type insulation detection based on the traditional detection.Based on the python language combined with the library provided by NI-visa, it can achieve high integration and meet the national GB/T 18384.1-2015 standard. Experimental results show that the insulation detection system can accurately test the insulation performance of new energy vehicles and meet the new energy vehicle offline detection standards.

scholarly journals Characteristics Numerical Research on Power Battery Impact Strength of New Energy Vehicle

2019 ◽  
Vol 16 (08) ◽  
pp. 1950042
Author(s):  
Zhuhai Tao ◽  
Yang Jialin ◽  
Zhang Xianglei ◽  
Zhang Bing
Keyword(s):  
Impact Strength ◽  
Crash Test ◽  
Test Conditions ◽  
Power Battery ◽  
Average Impact ◽  
New Energy ◽  
Strength Curve ◽  
New Energy Vehicle ◽  
The Impact ◽  
New Energy Vehicles

Based on the crash test of new energy vehicles, the mechanical response data of power batteries during the collision process were collected, and the average impact strength curve of power batteries of typical new energy vehicles in China was obtained. The average impact strength curve was mathematically processed to obtain the impact strength characteristic value and tolerance by using the equivalent trapezoidal wave and the least square method, thereby determining the test conditions of the dynamic strength of the domestic new energy vehicle power battery. The differences are analyzed by comparing with ISO 12405-3 test conditions, which provides an important reference for the revision of power battery test standards in the future.

scholarly journals Analysis and Future Market Forecast Research of China’s End-of-life New Energy Vehicle Recycling and Dismantling Technology

2020 ◽  
Vol 165 ◽  
pp. 01033
Author(s):  
Wang Jia ◽  
Li Yuke ◽  
Pan Wei ◽  
Li Zhenbiao
Keyword(s):  
End Of Life ◽  
Future Development ◽  
Future Market ◽  
Power Battery ◽  
The Future ◽  
New Energy ◽  
Market Forecast ◽  
New Energy Vehicle ◽  
Application Volume ◽  
New Energy Vehicles

With the rapid increase in the promotion and application volume of new energy vehicles in China, the number of end-of-life new energy vehicles will increase rapidly in the future. Moreover, it brings difficulties to the dismantling of new energy vehicles because of the flammability and explosiveness characteristics of the power battery in new energy vehicles. This paper analyzes the dismantling technology of end-of-life new energy vehicles in China and abroad, and forecasts the inventory of new energy vehicles and the number of end-of-life new energy vehicle in the future, which has important reference significance for the future development of China’s industry. Finally, the paper puts forward suggestions to promote the development of the industry.

Power Batteries Pack Test System Based on GPIB Protocol

2011 ◽  
Vol 328-330 ◽  
pp. 614-618
Author(s):  
Li Ya Lv ◽  
Yong Jun Min
Keyword(s):  
Automatic Measurement ◽  
Test System ◽  
Battery Pack ◽  
Automated Testing ◽  
Power Battery ◽  
Collection Device ◽  
New Energy ◽  
Reliable Performance ◽  
New Energy Vehicle ◽  
Electronic Load

A communication and data collection device was designed based on GPIB protocol, with the design of PC control and automatic measurement software, which can complete programmable electronic load control and ambient temperature data acquision, implementation of new energy vehicles for the automatic measurement of battery pack and Data records, simplifying test system design. The results show that the system operation and reliable performance, advanced features, can realize the new energy vehicle power battery pack automated testing of complex working conditions.

A New Energy-Based Uniaxial Fatigue Life Prediction Method for a Gas Turbine Engine Material

2007 ◽  
Author(s):  
Onome Scott-Emuakpor ◽  
M.-H. Herman Shen ◽  
Tommy George ◽  
Charles Cross ◽  
Jeffrey Calcaterra
Keyword(s):  
Fatigue Life ◽  
Gas Turbine ◽  
Life Prediction ◽  
Prediction Method ◽  
Fatigue Life Prediction ◽  
Turbine Engine ◽  
Bending Fatigue ◽  
New Energy ◽  
Stress Ratios ◽  
Materials Used

A new energy-based fatigue life prediction framework for calculation of axial and bending fatigue life at various stress ratios has been developed. The purpose of the life prediction framework is to account for materials used in gas turbine engines, such as Titanium 6Al-4V, which experience an endurance stress limit as the number of cycles increase towards infinity. The work conducted to develop this energy-based framework consist of the following entities: (1) A new life prediction criterion for axial and bending fatigue at various stress ratios for Aluminum 6061-T6, (2) use of the previously developed improved uniaxial energy-based method to acquire fatigue life prior to endurance limit behavior [1], (3) and the incorporation of a statistical energy-based fatigue life calculation scheme to the uniaxial life criterion (the first entity of the framework), which is capable of constructing prediction intervals based on a specified percent confidence level. The exactitude of this work was verified by comparison between theoretical approximations and experimental results from recently acquired Al 606-T6 and Ti 6Al-4V data. The comparison shows very good agreement, thus validating the capability of the framework to produce accurate fatigue life predictions.

scholarly journals A battery life prediction method for hybrid power applications

1997 ◽  
Author(s):  
Stephen Drouilhet ◽  
Bertrand Johnson ◽  
Stephen Drouilhet ◽  
Bertrand Johnson
Keyword(s):  
Life Prediction ◽  
Prediction Method ◽  
Battery Life ◽  
Hybrid Power
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