Areas of expertise
- Computing, Simulation & Modelling
- Electric and Hybrid Vehicles
- Mechatronics & Advanced Controls
- Systems Engineering
- Vehicle Engineering & Mobility
Background
Daniel J. Auger has a background in electrical engineering and applied control & estimation theory. His research looks at ways to exploit estimation and control techniques in vehicle and energy storage applications, particularly in the context of fast model calibration and battery management. Daniel uses carefully designed hardware-in-the-loop experiments to replicate real-world battery behaviours early in a product lifecycle, and then uses formal system identification techniques, control-oriented estimation techniques and computer science to produce models and state estimation software for incorporation in real-time battery management systems.
Daniel is currently working on the application of reduced-order physics-based models for fast model calibration and estimation, control of hybrid battery systems, electrical and module/pack-level thermal modelling and state estimation, and prognostic/diagnostic techniques for predicting and assessing battery health and remaining useful life.
Daniel teaches on the motorsport and automotive MSc programme, and is module lead for Automotive Control and Simulation and Advanced Control and Optimisation.
Before joining Cranfield, he worked in senior control engineering roles in BAE Systems and MathWorks Consulting Services. He has MEng and PhD degrees from Cambridge and is a chartered engineer, an IET Fellow and an IEEE Senior Member; he holds the FHEA university teaching qualification.
Current activities
Green Futures Investment Limited Technology Accelerator Fund Project. Early detection and warning system for lithium battery thermal runaway. £50k. PI. Co-Is Dr A Fotouhi, Dr G Gratton.
Faraday Battery Challenge Project. SHIELD: State of Health Including Evaluating Longevity Determination of batteries. £99,982 (Cranfield part). Jan 24 - Dec 24. Cranfield Lead. Co-I Dr A Fotouhi.
Faraday Institution Project. LiSTAR Phase 2. £221,219 (Cranfield part). Apr 23 - Mar 25. Cranfield Lead. PI Prof P Shearing (formerly UCL, now Oxford). Co-Is include Dr A Fotouhi.
Innovate UK Project (10017550). BRAD: Bellerophon Rapid Assembly and Disassembly, £115,495 (Cranfield part). Feb 22 - Apr 23. Cranfield Lead. Co-I Dr A Fotouhi.
Innovate UK Project (83328): NGB: NexGen Battery, £120,424 (Cranfield part). Jan 22 - Dec 23. Cranfield Lead Dr A Fotouhi. Co-I Dr DJ Auger
Innovate UK Project (78920). SLB4ComEU: Second-Life Batteries for Commercial End-Use, £99,930 (Cranfield part). Sep 20 - Jul 21. Cranfield Lead Dr C Long. Co-Is Dr D Auger, Dr J Luo.
Horizon 2020 Project (814471) LISA: Lithium Sulfur for Safe Road Vehicle Electrification, EUR 562,513 (Cranfield part), Jan 19 to Dec 2022. Cranfield Lead. Co-Is Dr A Fotouhi, Prof J Brighton.
Innovate UK Project (48727) Chimera: an intelligent battery management architecture for next-generation electric vehicle batteries using multiple cell chemistries, £82,558 (Cranfield part), Jun 20 - Nov 21. Cranfield Lead. Co-I Dr A Fotouhi.
Innovate UK Project (TS/R013780/1) LiS:FAB - Lithium Sulfur: Future Automotive Battery (Advanced State Estimation and Management Algorithms, £859,504 (Cranfield part), Apr 18 to Sep 21. Cranfield Lead. Co-Is Dr A Fotouhi, Prof J Brighton.
Innovate UK Project (105297) Developing the Isothermal Control Platform (ICP) as the Basis of New Proposed Standards for the Testing of Lithium Batteries for Use in Electric Vehicles, £82,205 (Cranfield part), Jul 19 - Jun 21. Cranfield Lead. Co-I Dr A Fotouhi.
Horizon 2020 Project (666157) ALISE: Advanced Lithium Sulfur Battery for xEV, EUR 111,717 (Cranfield part), Mar 18 - May 2019. Cranfield Lead. Co-I Dr A Fotouhi.
ATI Project (TS/P003818/1) Zephyr Innovation Programme (ZIP) - development and integration of novel lithium-sulfur battery management and state estimation algorithms for UAVs, £245,135, May 17 - Dec 18. Cranfield Lead. Co-Is Dr S Longo, Dr A Fotouhi.
Innovate UK Project (TS/P012000/1) HumanDRIVE, £1,199,941, Jan 17 - Dec 19, Cranfield Leads Prof A Tsourdos, Prof JL Brighton, Co-Is Dr A Savvaris, Prof R Zbikowski, Dr DJ Auger, Dr S Longo, Dr A Soltani.
EPSRC Project (EP/N012089/1) TASCC: Driver-cognition-oriented optimal control authority shifting for adaptive automated driving (CogShift), £1,587,193, Dec 15 - Dec 19, PI Prof JL Brighton, Co-Is Prof N Lavie, Dr DJ Auger, Dr Y Zhao.
EPSRC Project (EP/L505286/1) Revolutionary Electric Vehicle Battery (REVB) - design and integration of novel state estimation/control algorithms & system optimisation techniques, £468,617, Feb 14 - Apr 17, Cranfield Lead Dr D Auger, Co-I Dr S Longo.
EPSRC Project (EP/I038586/1) Developing FUTURE Vehicles (Fundamental Understanding of Technologies for Ultra Reduced Emission Vehicles), £3,012,029, [Jan 13] - May 16, PI Prof R Thring, Co-Is Prof Q Zhong, Prof DA Stone, Prof K Burnham, Prof NP Brandon, Prof D Howey, Dr T Larkowski, Dr D J Auger, Dr S Longo, Dr M Sumislawska, Prof M McCulloch, Professor R Martinez-Botas, Dr J Marco, Dr G Offer, Prof F Assadian.
Clients
Current and recent grants have been provided by Innovate UK, The European Commission, EPSRC, the Aerospace Technology Institute (ATI) and The Faraday Institution.
Current and recent collaborators include OXIS Energy, The LEITAT Technological Center, Thermal Hazard Technologies and Chimera Energy.
Publications
Articles In Journals
- Yin C, Cecotti M, Auger DJ, Fotouhi A & Jiang H. (2025). Deep‐learning‐based vehicle trajectory prediction: a review. IET Intelligent Transport Systems, 19(1)
- Zhang H, Fotouhi A, Auger DJ & Lowe M. (2024). Battery temperature prediction using an adaptive neuro-fuzzy inference system. Batteries, 10(3)
- Rodriguez VM, Shateri N, Fotouhi A, Propp K & Auger DJ. (2024). Deterministic observability calculations for zero-dimensional models of lithium–sulfur batteries. Journal of Energy Storage, 87
- Liu X, Fotouhi A & Auger D. (2024). Formula-E multi-car race strategy development—a novel approach using reinforcement learning. IEEE Transactions on Intelligent Transportation Systems, 25(8)
- Liu X, Fotouhi A, Cecotti M & Auger D. (2024). Optimal control of race car with aerodynamic slipstreaming effect. IEEE Transactions on Control Systems Technology, 32(6)
- Cai C, Gong Y, Fotouhi A & Auger DJ. (2024). A novel hybrid electrochemical equivalent circuit model for online battery management systems. Journal of Energy Storage, 99
- Liang C, Xu X, Auger DJ, Wang F & Wang S. (2023). Efficient mode transition control for DM-PHEV with mechanical hysteresis based on piecewise affine H∞ strategy. IEEE Transactions on Transportation Electrification, 9(3)
- Liu X, Fotouhi A & Auger DJ. (2022). Application of advanced tree search and proximal policy optimization on formula-E race strategy development. Expert Systems with Applications, 197(July)
- Shateri N, Auger DJ, Fotouhi A, Brighton J, Du W, .... (2022). Investigation of the effect of temperature on lithium-sulfur cell cycle life performance using system identification and x-ray tomography. Batteries & Supercaps, 5(8)
- Liu X, Fotouhi A & Auger DJ. (2022). Energy-optimal overtaking manoeuvres of Formula-E cars. Vehicle System Dynamics, 61(8)
- Gong Y, Auger DJ, Fotouhi A & Hale CJ. (2022). A new topology for electric all-terrain vehicle hybrid battery systems using low-frequency discrete cell switching. IEEE Transactions on Transportation Electrification, 9(1)
- Shateri N, Auger DJ, Fotouhi A & Brighton J. (2022). Charging characterization of a high‐capacity lithium‐sulfur pouch cell for state estimation–an experimental approach. Energy Storage, 5(3)
- Valencia N, Fotouhi A, Shateri N & Auger DJ. (2022). Development of a hybrid adaptive neuro-fuzzy inference system with coulomb-counting state-of-charge estimator for lithium–sulphur battery. International Journal of Fuzzy Systems, 25(2)
- Shateri N, Auger DJ, Fotouhi A, Brighton J, Du W, .... (2022). Cover Feature: Investigation of the Effect of Temperature on Lithium‐Sulfur Cell Cycle Life Performance Using System Identification and X‐Ray Tomography (Batteries & Supercaps 8/2022). Batteries & Supercaps, 5(8)
- Liu X, Fotouhi A & Auger DJ. (2021). Formula-E race strategy development using distributed policy gradient reinforcement learning. Knowledge-Based Systems, 216(March)
- Shateri N, Auger DJ, Fotouhi A & Brighton J. (2021). An experimental study on prototype lithium-sulfur cells for ageing analysis and state-of-health estimation. IEEE Transactions on Transportation Electrification, 7(3)
- Zhang Z, Velenis E, Fotouhi A, Auger DJ & Cao D. (2021). Driver distraction detection using machine learning algorithms – an experimental approach. International Journal of Vehicle Design, 83(2/3/4)
- Hales A, Brouillet E, Wang Z, Edwards B, Samieian MA, .... (2021). Isothermal temperature control for battery testing and battery model parameterization. SAE International Journal of Electrified Vehicles, 10(2)
- Shateri N, Shi Z, Auger DJ & Fotouhi A. (2020). Lithium-sulfur cell state of charge estimation using a classification technique. IEEE Transactions on Vehicular Technology, 70(1)
- Liu X, Fotouhi A & Auger DJ. (2020). Optimal energy management for formula-E cars with regulatory limits and thermal constraints. Applied Energy, 279
- Dörfler S, Walus S, Locke J, Fotouhi A, Auger DJ, .... (2020). Recent progress and emerging application areas for lithium-sulfur battery technology. Energy Technology, 9(1)
- Calvo-Serra V, Fotouhi A, Soleymani M & Auger DJ. (2020). How suitable is lithium-sulphur battery for electric city bus application?. International Journal of Powertrains, 9(4)
- Cao D, Fotouhi A, Auger DJ, Zhang Z & Velenis E. (2020). Driver distraction detection using machine learning algorithms: an experimental approach. International Journal of Vehicle Design, 83(2/3/4)
- Propp K, Auger DJ, Fotouhi A, Marinescu M, Knap V, .... (2019). Improved state of charge estimation for lithium-sulfur batteries. Journal of Energy Storage, 26
- Fotouhi A, Shateri N, Laila DS & Auger DJ. (2019). Electric vehicle energy consumption estimation for a fleet management system. International Journal of Sustainable Transportation, 15(1)
- Knap V, Auger DJ, Propp K, Fotouhi A & Stroe D-I. (2018). Concurrent real-time estimation of state of health and maximum available power in lithium-sulfur batteries. Energies, 11(8)
- Knap V, Stroe D-I, Purkayastha R, Walus S, Auger DJ, .... (2018). Reference performance test Methodology for degradation assessment of lithium-sulfur batteries. Journal of The Electrochemical Society, 165(9)
- Lv C, Wang H, Cao D, Zhao Y, Auger DJ, .... (2018). Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles. IEEE/ASME Transactions on Mechatronics, 23(6)
- Fotouhi A, Propp K, Samaranayake L, Auger DJ & Longo S. (2018). A hardware-in-the-loop test rig for development of electric vehicle battery identification and state estimation algorithms. International Journal of Powertrains, 7(1/2/3)
- Propp K, Auger DJ, Fotouhi A, Longo S & Knap V. (2017). Kalman-variant estimators for state of charge in lithium-sulfur batteries. Journal of Power Sources, 343
- Zhao Y, Görne L, Yuen I-M, Cao D, Sullman M, .... (2017). An orientation sensor based head tracking system for driver behaviour monitoring. Sensors, 17(11)
- Knap V, Stroe D-I, Christensen AE, Propp K, Fotouhi A, .... (2017). Self-balancing feature of Lithium-Sulfur batteries. Journal of Power Sources, 372
- Fotouhi A, Auger DJ, Propp K & Longo S. (2017). Lithium-sulfur battery state-of-charge observability analysis and estimation. IEEE Transactions on Power Electronics, 33(7)
- Fotouhi A, Auger DJ, O’Neill L, Cleaver T & Walus S. (2017). Lithium-Sulfur battery technology readiness and applications – a review. Energies, 10(12)
- Fotouhi A, Auger DJ, Propp K, Longo S, Purkayastha R, .... (2017). Lithium-sulfur cell equivalent circuit network model parameterization and sensitivity analysis. IEEE Transactions on Vehicular Technology, 66(9)
- Lv C, Cao D, Zhao Y, Auger DJ, Sullman M, .... (2017). Analysis of autopilot disengagements occurring during autonomous vehicle testing. IEEE/CAA Journal of Automatica Sinica, 5(1)
- Yousif SEA, Fotouhi A, Auger DJ & Propp K. (2017). Self-discharge effects in lithium-sulfur equivalent circuit networks for state estimation. Journal of The Electrochemical Society, 165(1)
- Propp K, Marinescu M, Auger DJ, O'Neill L, Fotouhi A, .... (2016). Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries. Journal of Power Sources, 328
- Fotouhi A, Auger DJ, Propp K & Longo S. (2016). Accuracy versus simplicity in online battery model identification. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(2)
- Othaganont P, Assadian F & Auger DJ. (2016). Multi-objective optimisation for battery electric vehicle powertrain topologies. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 231(8)
- Propp K, Fotouhi A, Knap V & Auger DJ. (2016). Design, build and validation of a low-cost programmable battery cycler. ECS Transactions, 74(1)
- Fotouhi A, Auger DJ, Propp K, Longo S & Wild M. (2015). A review on electric vehicle battery modelling: from lithium-ion toward lithium–sulphur. Renewable and Sustainable Energy Reviews, 56
- Papazoglou A, Longo S, Auger D & Assadian F. (2014). Nonlinear Filtering Techniques Comparison for Battery State Estimation. Journal of Sustainable Development of Energy, Water and Environment Systems, 2(3)
- Longo S, Auger DJ & Assadian F. (2014). Mechatronics in Sustainable Mobility: Two Electric Vehicle Applications. The Journal of Sustainable Mobility, 1(1)
- Othaganont P, Assadian F & Auger DJ. (2014). Sensitivity analyses for cross-coupled parameters in automotive powertrain optimization. Energies, 7(6)
- J. Auger D, F. Groff M, Mohan G, Longo S & Assadian F. (2014). Impact of Battery Ageing on an Electric Vehicle Powertrain Optimisation. Journal of Sustainable Development of Energy, Water and Environment Systems, 2(4)
