首页|大数据下电动汽车动力电池故障诊断技术面临的挑战及其发展

大数据下电动汽车动力电池故障诊断技术面临的挑战及其发展

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随着绿色理念的持续推行,新能源电池在汽车行业逐渐成为新型动力,促使电动汽车不断创新发展.但随着电动汽车的推广和普及,其动力电池故障问题明显增多,通过有效采用智能化的诊断技术,有助于及时解决电池故障,确保行车安全.鉴于此,解决大数据时代背景下,探究电动汽车动力电池故障诊断技术至关重要,通过结合相关文献资料和实践工作,深入分析电动汽车动力电池故障的常见类型与特点,探究电动汽车动力电池故障诊断技术面临的挑战,并提出相应的解决措施,以推动动力电池故障诊断技术的有效应用,最后对其未来发展进行展望,以推动电动汽车行业健康发展.
Challenges and Development of Power Battery Fault Diagnosis Technology for Electric Vehicles Under Big Data
With the continuous implementation of the current green concept,new energy batteries have gradually become a new type of power in the automotive industry,prompting the continuous innovation and development of electric vehicles.However,with the promotion and popularization of electric vehicles,the problem of power battery failure has also increased significantly,through the effective use of intelligent diagnostic technology,help to ensure that the battery failure is solved in time to ensure driving safety.In view of this,it is very important to explore the fault diagnosis technology of electric vehicle power battery in the era of big data.By combining relevant literature and practical work,the common types and characteristics of electric vehicle power battery fault are deeply analyzed,and the challenges faced by the fault diagnosis technology of electric vehicle power battery are explored,and corresponding solutions are proposed.In order to promote the effective application of power battery fault diagnosis technology,and finally its future development is looked forward to promote the healthy development of electric vehicle industry.

big dataelectric vehiclepower battery fault diagnosis

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湖南湖大艾盛汽车技术开发有限公司,湖南长沙 410000

大数据 电动汽车 动力电池故障诊断

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(11)