The description of the parameters in Nissan Leaf 2018 with ECU commands:Nissan_Leaf_Model2018_Data_Description.xlsx

Monitoring Electric Vehicles on The Go

January 2022
DOI: 10.1109/CCNC49033.2022.9700713
Conference: 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)

If you use this finding in your research, please cite it.

Bibtex

  @inproceedings{aguiari2022monitoring,
  title={Monitoring electric vehicles on the go},
  author={Aguiari, Davide and Chou, Ka Seng and Tse, Rita and Pau, Giovanni},
  booktitle={2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC)},
  pages={885--888},
  year={2022},
  organization={IEEE}
  }
  

[Preprocessed 443MB] Nissan Leaf 2018 1 Year REAL-WORLD collected data:Dataset_Preprocessed.csv

[RAW 1.54GB] Nissan Leaf 2018 1 Year REAL-WORLD collected data:Dataset_NissanLeaf-2021_2022.csv

Extensive data-set of 4.5M samples collected by sampling the Electric Control Units (ECUs) in 250ms with a IoT OBD2 device in Nissan Leaf Model 2018
It explores the recorded 7,100 Km data, where 3.35\% degradation on the entire battery pack was monitored for 384 days
From: 2020-11 to 2021-12

If you use this finding in your research, please cite it.

Impact Evaluation of Driving Style on Electric Vehicle Battery based on Field Testing Result

January 2023
DOI: 10.1109/CCNC51644.2023.10060822
Conference: 2023 IEEE 20th Annual Consumer Communications & Networking Conference (CCNC)

Bibtex

  @inproceedings{chou2023impact,
  title={Impact Evaluation of Driving Style on Electric Vehicle Battery based on Field Testing Result},
  author={Chou, Ka Seng and Aguiari, Davide and Tse, Rita and Tang, Su-Kit and Pau, Giovanni},
  booktitle={2023 IEEE 20th Consumer Communications \& Networking Conference (CCNC)},
  pages={1143--1146},
  year={2023},
  organization={IEEE}
  }
  

OR

Forecasting the Temperature of BEV Battery Pack Based on Field Testing Data

March 2023
DOI: 10.1007/978-3-031-28990-3_1
In book: Edge Computing and IoT: Systems, Management and Security

  @article{chou_2023_forecasting,
  author = {Chou, Ka Seng and Wong, Kei Long and Aguiari, Davide and Tse, Rita and Tang, Su-Kit and Pau, Giovanni},
  pages = {3-17},
  title = {Forecasting the Temperature of BEV Battery Pack Based on Field Testing Data},
  doi = {10.1007/978-3-031-28990-3_1},
  urldate = {2023-04-02},
  volume = {478},
  year = {2023},
  journal = {Edge Computing and IoT: Systems, Management and Security}
  }