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Automotive

electric and autonomous vehicles

The transportation sector currently account for 24% of the CO2 worldwide emissions (Teter, 2020), as well as 3.2 million premature deaths due to pollution alone . Solutions to make the sector greenier, healthier and safer include, amongst other, the introduction of electric and autonomous vehicles. Fleets of road freight vehicles are ideal candidates for electrification and for early introduction of autonomous driving capabilities, including cooperative functionalities such as platooning.

We provided a first set of theoretical contributions to such pressing challenge, by developing detection methods that can make tomorrow’s cooperative autonomous vehicles safer (Keijzer & Ferrari, 2019; Keijzer et al., 2021). As part of the project SPARSITY, in collaboration with AB Volvo, we are now investigating how to extend system identification and leverage physics-informed Machine Learning to obtain mathematical models of key electric drive train components. Such models will be instrumental in optimizing the life cycle of those components and implement circular economy solutions.

Joint work with (mostly): Twan Keijzer, Tushar Desai, Yang Wang, Paula Chanfreut, José M. Maestre, Fabian Jarmolowitz, Kausihan Selvam.

Publications

  1. ECC24
    Concurrent Li-ion Battery Parameter Estimation and Open-Circuit Voltage Reconstruction via L1-Regularized Least Squares
    Wang, Yang, Ferrari, Riccardo M.G., and Verhaegen, Michel
    In European Control Conference 2024
  2. VPPC23
    Separating multiscale Battery dynamics and predicting multi-step ahead voltage simultaneously through a data-driven approach
    Desai, Tushar, and Ferrari, Riccardo M.G.
    In IEEE Vehicle Power and Propulsion Conference (VPPC) 2023
    DOI
  3. IFAC23
    Real-time Battery State of Charge and parameters estimation through Multi-Rate Moving Horizon Estimator
    Desai, Tushar, Oliva, Federico, Ferrari, Riccardo M.G., and Carnevale, Daniele
    In IFAC World Congress 2023
  4. IFAC23
    A Coalitional MPC Approach to Control of Collaborative Vehicle Platoons
    Chanfreut, Paula, Keijzer, Twan, Maestre, José Maria, and Ferrari, Riccardo M.G.
    In IFAC World Congress 2023
  5. CCTA22
    Autonomous RC Cars for Control Research and Education: Implementation of Virtual Potential Based Navigation and Platooning
    De Jager, TR, Meinders, NK, Van Vugt, TA, and Zomerdijk, W
    In 2022 IEEE Conference on Control Technology and Applications (CCTA) 2022
  6. ECC21
    Detection of Cyber-Attacks in a Collaborative Intersection Control Scenario
    Keijzer, Twan, Jarmolowitz, Fabian, and Ferrari, Riccardo M.G.
    In European Control Conference 2021
    arXiv DOI video
  7. ECC21
    Detection of Network and Sensor Cyber-Attacks in Platoons of Cooperative Autonomous Vehicles: a Sliding-Mode Observer Approach
    Keijzer, Twan, and Ferrari, Riccardo M.G.
    In European Control Conference 2021
    arXiv DOI video
  8. CDC19
    A Sliding Mode Observer Approach for Attack Detection and Estimation in Autonomous Vehicle Platoons using Event Triggered Communication
    Keijzer, Twan, and Ferrari, Riccardo M.G.
    In Conference on Decision and Control 2019
    DOI
  9. NECSYS18
    Attack Detection and Estimation in Cooperative Vehicles Platoons: A Sliding Mode Observer Approach
    Jahanshahi, Niloofar, and Ferrari, Riccardo M.G.
    In IFAC Workshop on Distributed Estimation and Control in Networked Systems 2018
    DOI

Additional References

  1. Tracking transport 2020
    Teter, Jacob
    IEA 2020
    URL