• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于智能区域的电动汽车功率优化主电子控制单元的设计与开发。

Design and development of an intelligent zone based master electronic control unit for power optimization in electric vehicles.

作者信息

Prabhakaran A, Thirumoorthi P, Sri Dhivya Krishnan K

机构信息

Department of Automobile Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, 641049, India.

Department of Electrical and Electronics Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, 641049, India.

出版信息

Sci Rep. 2024 Aug 29;14(1):20142. doi: 10.1038/s41598-024-70580-7.

DOI:10.1038/s41598-024-70580-7
PMID:39209890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11362289/
Abstract

The development of electric vehicles (EVs) has been incremental because EVs satisfy a significant demand for energy sources. Electronic control unit (ECU) is an important component that processes the electric signals received from various sensors for generating the control signals for the actuators. Automotive control systems were initially operated manually throughout the automotive revolution based on the responses of input signals received from ECUs and drivers. Most of the functions in EV are controlled by the ECU and every ECU consumes power at all times even if it is not in use. The larger power consumption of passive ECUs like adaptive lighting systems (ALS), automatic wiper systems (AWS) brake light systems (BLS), etc., affect the life of ECUs and the range of EVs. This article is primarily concerned with limiting power consumption by switching the power supply to the passive ECUs based on their requirements. Hence, to achieve the objective, the intelligent zone (i-zone) based master ECU is triggered to activate the slave ECUs. Designing suites including Proteus and KiCAD were used for designing the circuits including master as well as slave ECU. This prototype is built using three secondary ECUs such as ALS & AWS and BLS which are controlled using i-zone-based master ECU. The performance of this implemented design is evaluated, and it is discovered that almost 40% of the battery consumption is reduced. This i-zone-based master ECU and all its slave ECUs manage power while ensuring the safety and reliability of EVs.

摘要

电动汽车(EV)的发展是渐进式的,因为电动汽车满足了对能源的重大需求。电子控制单元(ECU)是一个重要部件,它处理从各种传感器接收到的电信号,以便为执行器生成控制信号。在整个汽车革命过程中,汽车控制系统最初是基于从电子控制单元和驾驶员接收到的输入信号的响应进行手动操作的。电动汽车中的大多数功能由电子控制单元控制,而且即使不使用,每个电子控制单元也始终消耗电力。诸如自适应照明系统(ALS)、自动雨刮系统(AWS)、刹车灯系统(BLS)等无源电子控制单元的较大功耗会影响电子控制单元的寿命以及电动汽车的续航里程。本文主要关注根据无源电子控制单元的需求切换其电源来限制功耗。因此,为实现这一目标,触发基于智能区域(i-zone)的主电子控制单元来激活从电子控制单元。包括Proteus和KiCAD在内的设计套件被用于设计包括主电子控制单元和从电子控制单元的电路。该原型使用三个二级电子控制单元构建,如自适应照明系统和自动雨刮系统以及刹车灯系统,它们由基于智能区域的主电子控制单元控制。对这种实现的设计的性能进行了评估,发现电池消耗几乎降低了40%。这种基于智能区域的主电子控制单元及其所有从电子控制单元在确保电动汽车的安全性和可靠性的同时管理电力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/b3be0bf3cac3/41598_2024_70580_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/e470d967aa24/41598_2024_70580_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/40ca4c8712b3/41598_2024_70580_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/8eae83ea7f18/41598_2024_70580_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/839499385e3a/41598_2024_70580_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/efa3733099d2/41598_2024_70580_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/35f4b0042223/41598_2024_70580_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/7f293d5375ad/41598_2024_70580_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/46cc01e3ed13/41598_2024_70580_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/8dbbd323078f/41598_2024_70580_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/99e55d5662a8/41598_2024_70580_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/a29231aabf82/41598_2024_70580_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/787e0decb7ee/41598_2024_70580_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/d23ab408c604/41598_2024_70580_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/5cbd6b881841/41598_2024_70580_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/b3be0bf3cac3/41598_2024_70580_Fig15_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/e470d967aa24/41598_2024_70580_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/40ca4c8712b3/41598_2024_70580_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/8eae83ea7f18/41598_2024_70580_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/839499385e3a/41598_2024_70580_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/efa3733099d2/41598_2024_70580_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/35f4b0042223/41598_2024_70580_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/7f293d5375ad/41598_2024_70580_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/46cc01e3ed13/41598_2024_70580_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/8dbbd323078f/41598_2024_70580_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/99e55d5662a8/41598_2024_70580_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/a29231aabf82/41598_2024_70580_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/787e0decb7ee/41598_2024_70580_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/d23ab408c604/41598_2024_70580_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/5cbd6b881841/41598_2024_70580_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/07cb/11362289/b3be0bf3cac3/41598_2024_70580_Fig15_HTML.jpg

相似文献

1
Design and development of an intelligent zone based master electronic control unit for power optimization in electric vehicles.基于智能区域的电动汽车功率优化主电子控制单元的设计与开发。
Sci Rep. 2024 Aug 29;14(1):20142. doi: 10.1038/s41598-024-70580-7.
2
An FPGA-Based ECU for Remote Reconfiguration in Automotive Systems.一种用于汽车系统远程重新配置的基于现场可编程门阵列的电子控制单元。
Micromachines (Basel). 2021 Oct 26;12(11):1309. doi: 10.3390/mi12111309.
3
Evaluation of Three Different Approaches for Automated Time Delay Estimation for Distributed Sensor Systems of Electric Vehicles.评估用于电动汽车分布式传感器系统的三种不同自动时滞估计方法。
Sensors (Basel). 2020 Jan 8;20(2):351. doi: 10.3390/s20020351.
4
An ecological perspective on implementing environmental control units for veterans with spinal cord injuries and disorders.对脊髓损伤和疾病退伍军人实施环境控制单元的生态学视角。
Disabil Rehabil Assist Technol. 2020 Jan;15(1):67-75. doi: 10.1080/17483107.2018.1527956. Epub 2018 Nov 19.
5
Performance Evaluation of Zone-Based In-Vehicle Network Architecture for Autonomous Vehicles.基于区域的车载网络架构在自动驾驶车辆中的性能评估。
Sensors (Basel). 2023 Jan 6;23(2):669. doi: 10.3390/s23020669.
6
Image-Processing-Based Low-Cost Fault Detection Solution for End-of-Line ECUs in Automotive Manufacturing.基于图像处理的汽车制造中下线电子控制单元低成本故障检测解决方案
Sensors (Basel). 2020 Jun 22;20(12):3520. doi: 10.3390/s20123520.
7
Patient perceptions of environmental control units: experiences of Veterans with spinal cord injuries and disorders receiving inpatient VA healthcare.患者对环境控制单元的认知:脊髓损伤和疾病退伍军人在退伍军人事务部(VA)接受住院医疗护理的体验
Disabil Rehabil Assist Technol. 2018 May;13(4):325-332. doi: 10.1080/17483107.2017.1312574. Epub 2017 Apr 19.
8
Single-Wire Control and Fault Detection for Automotive Exterior Lighting Systems.汽车外部照明系统的单线控制与故障检测
Sensors (Basel). 2023 Jul 19;23(14):6521. doi: 10.3390/s23146521.
9
Environmental control unit utilization by high-level spinal cord injured patients.
Arch Phys Med Rehabil. 1989 Aug;70(8):621-3.
10
Design of a Low-Power, Small-Area AEC-Q100-Compliant SENT Transmitter in Signal Conditioning IC for Automotive Pressure and Temperature Complex Sensors in 180 Nm CMOS Technology.在 180nm CMOS 技术中,为汽车压力和温度复合传感器的信号调理 IC 设计符合 AEC-Q100 标准的低功耗、小面积的 SENT 发送器。
Sensors (Basel). 2018 May 14;18(5):1555. doi: 10.3390/s18051555.

本文引用的文献

1
Adaptive RAO ensembled dichotomy technique for the accurate parameters extraction of solar PV system.用于太阳能光伏系统精确参数提取的自适应 Rao 集成二分法技术
Sci Rep. 2024 Jun 5;14(1):12920. doi: 10.1038/s41598-024-63383-3.
2
Application of DSO algorithm for estimating the parameters of triple diode model-based solar PV system.DSO算法在基于三二极管模型的太阳能光伏系统参数估计中的应用。
Sci Rep. 2024 Feb 16;14(1):3867. doi: 10.1038/s41598-024-53582-3.
3
Innovative association network of new energy vehicle charging stations in China: Structural evolution and policy implications.
中国新能源汽车充电站创新关联网络:结构演变与政策启示
Heliyon. 2024 Jan 18;10(2):e24764. doi: 10.1016/j.heliyon.2024.e24764. eCollection 2024 Jan 30.
4
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions.一种用于太阳能光伏系统在各种部分阴影条件下的混合最大功率点跟踪(MPPT)控制器的设计与实现新方法。
Sci Rep. 2024 Jan 18;14(1):1609. doi: 10.1038/s41598-023-49278-9.
5
Performance Evaluation of Zone-Based In-Vehicle Network Architecture for Autonomous Vehicles.基于区域的车载网络架构在自动驾驶车辆中的性能评估。
Sensors (Basel). 2023 Jan 6;23(2):669. doi: 10.3390/s23020669.