Contact Dr Daniel Auger
Areas of expertise
- Electric and Hybrid Vehicles
- Mechatronics & Advanced Controls
- Vehicle Engineering & Mobility
Dr Daniel Auger is Reader in Electrification, Automation and Control in Cranfield University's Advanced Vehicle Engineering Centre. He is an expert in control systems, vehicle electrification and autonomy. He leads major work streams on self-driving cars, and he has pioneered advanced battery management algorithms for lightweight lithium-sulfur batteries. He has also introduced new state-of-the-art MSc teaching in applied control engineering and launched a new course in connected and autonomous vehicle engineering.
With a background in control engineering, he has expertise and experience connecting the 'theoretical' world of mathematical modelling and simulation with the real physical world. His research team has strong capabilities in control, simulation, application and duty cycle modelling, hardware prototyping, mixed hardware/simulation test environments and state estimation. Current activities range from battery state characterization and state estimation using physics-based techniques coupled with estimation theory and/or artificial intelligence; thermal modelling; force-feedback systems to assist drivers resuming control in highly-automated vehicles; vendor-agnostic 'test oracle' assessment of automated driving safety using data from experimental scenarios; and hybrid 'multi-chemistry' energy storage technologies
Before joining Cranfield, Dr Auger worked in senior control engineering roles in BAE Systems and MathWorks Consulting Services. He has MA, MEng and PhD degrees from Cambridge and is a chartered engineer, an IET Fellow and an IEEE Senior Member.
Cranfield advertises post-doctoral research opportunities at https://tinyurl.com/Cranfield-Postdoc-Jobs-SATM. Candidates wishing to work under Daniel's supervision with their own funding, e.g. a Marie Skłodowska Curie fellowship, are welcome, and encouraged to get in touch directly.
Daniel is always happy to hear from prospective PhD students in Automotive Battery Management and State Estimation, Applications of Control Theory in Hybrid and Electric Vehicles, and Applications of Control Theory in Connected and Autonomous Vehicles
To apply, simply fill in our online application form at https://tinyurl.com/PhD-in-Transport-Systems, mentioning your preferred supervisor's name on the form. (Advanced Vehicle Engineering is part of our Transport Systems 'theme', so don't worry if the application form has this as the subject area). A successful PhD requires enthusiasm and self-motivation - it's important that you can come up with ideas for a research project, and that this is well presented in your application form.
Students are normally expected to identify their own source of funding, e.g. an employer or a nationally-funded scholarship. From time to time, we have funding for PhD scholarships - we always advertise these at https://tinyurl.com/Transport-Systems-PhD-Funding.
A PhD is a great experience. It's difficult at times, but ultimately very rewarding. If you think it might be right for you, and you think you have identified Daniel as the right supervisor, please do apply, and good luck with your application.
Horizon 2020 Project (814471) LISA: Lithium Sulfur for Safe Road Vehicle Electrification, EUR 562,513 (Cranfield part), Jan 19 to Dec 2022. PI Dr D Auger, 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. PI Dr D Auger, 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. PI Dr D Auger, 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. PI Dr D Auger, 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. PI Dr D Auger, 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. PI Dr D Auger, Co-Is Dr S Longo, Dr A Fotouhi.
Innovate UK Project (TS/P012000/1) HumanDRIVE, £1,199,941, Jan 17 - Dec 19, PI Prof A Tsourdos, Co-PI 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, PI 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.
Current and recent grants have been provided by Innovate UK, The European Commission, EPSRC and the Aerospace Technology Institute (ATI).
Current and recent collaborators include OXIS Energy, The LEITAT Technological Center and Thermal Hazard Technologies.
Articles In Journals
- Shateri N, Auger D, Fotouhi A, Brighton J, Du W, Owen RE, Brett DJL & Shearing PR (2022) Investigation of the effect of temperature on lithium-sulfur cell cycle life performance using system identification and x-ray tomography, Batteries and Supercaps, 5 (8) Article No. e202200035. Dataset/s: 10.17862/cranfield.rd.17163545
- Liu X, Fotouhi A & Auger DJ (2022) Energy-optimal overtaking manoeuvres of Formula-E cars, Vehicle System Dynamics, Available online 11 July 2022.
- 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, Available online 12 July 2022. Dataset/s: 10.17862/cranfield.rd.19375928
- Hales A, Brouillet E, Wang Z, Edwards B, Samieian MA, Kay J, Mores S, Auger D, Patel Y & Offer G (2022) Isothermal temperature control for battery testing and battery model parameterization, SAE International Journal of Electrified Vehicles, 10 (2) 105-122.
- Liu X, Fotouhi A & Auger D (2022) Application of advanced tree search and proximal policy optimization on formula-E race strategy development, Expert Systems with Applications, 197 (July) Article No. 116718.
- Shateri N, Auger DJ, Fotouhi A & Brighton J (2021) An Experimental Study on Prototype Lithium–Sulfur Cells for Aging Analysis and State-of-Health Estimation, IEEE Transactions on Transportation Electrification, 7 (3) 1324-1338. Dataset/s: 10.17862/cranfield.rd.12562361
- Zhang Z, Velenis E, Fotouhi A, Auger D & Cao D (2021) Driver distraction detection using machine learning algorithms: an experimental approach, International Journal of Vehicle Design, 83 (2/3/4) 122-139.
- Liu X, Fotouhi A & Auger DJ (2021) Formula-E race strategy development using distributed policy gradient reinforcement learning, Knowledge-Based Systems, 216 (March) Article No. 106781.
- Shateri N, Shi Z, Auger DJ & Fotouhi A (2021) Lithium-sulfur cell state of charge estimation using a classification technique, IEEE Transactions on Vehicular Technology, 70 (1) 212-224. Dataset/s: 10.17862/cranfield.rd.12011220
- Liu X, Fotouhi A & Auger DJ (2020) Optimal energy management for formula-E cars with regulatory limits and thermal constraints, Applied Energy, 279 (December) Article No. 115805.
- Calvo-Serra VC, Fotouhi A, Soleymani M & Auger DJ (2020) How suitable is lithium-sulphur battery for electric city bus application?, International Journal of Powertrains, 9 (4) 265-288.
- Dörfler S, Walus S, Locke J, Fotouhi A, Auger DJ, Shateri N, Abendroth T, Härtel P, Althues H & Kaskel S (2020) Recent progress and emerging application areas for lithium-sulfur battery technology, Energy Technology: Generation, Conversion, Storage, Distribution, Available online 07 October 2020 (1).
- 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) 40-54.
- Propp K, Auger DJ, Fotouhi A, Marinescu M, Knap V & Longo S (2019) Improved state of charge estimation for lithium-sulfur batteries, Journal of Energy Storage, 26 (December) Article No. 100943. Dataset/s: 10.17862/cranﬁeld.rd.c.3723934
- Fotouhi A, Auger D, Propp K & Longo S (2018) Lithium-sulfur battery state-of-charge observability analysis and estimation, IEEE Transactions on Power Electronics, 33 (7) 5847-5859.
- Fotouhi A, Propp K, Samaranayake L, Auger D J & 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 (1-3) 227-248. Dataset/s: 10.17862/cranfield.rd.5687983
- V. Knap, D-I. Stroe, R. Purkayastha, S. Walus, D. J. Auger, A. Fotouhi & K. Propp (2018) Reference performance test methodology for degradation assessment of lithium-sulfur batteries, Journal of The Electrochemical Society, 165 (9) 1601-1609.
- 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) Article No. 2133.
- Knap V, Stroe D-I, Purkayastha R, Walus S, Auger DJ, Fotouhi A & Propp K (2018) Methodology for assessing the lithium-sulfur battery degradation for practical applications, ECS Transactions, 77 (11) 479-490.
- Lv C, Cao D, Zhao Y, Auger DJ, Sullman M, Wang H, Dutka LM, Skrypchuk L & Mouzakitis A (2018) Analysis of autopilot disengagements occurring during autonomous vehicle testing, IEEE CAA Journal of Automatica Sinica, 5 (1) 58-68.
- Lv C, Wang H, Cao D, Zhao Y, Auger DJ, Sullman M, Matthias R, Skrypchuk L & Mouzakitis A (2018) Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles, IEEE/ASME Transactions on Mechatronics, Early online (6).
- Al-kubragyi SS, Luk PCK, Economou J & Auger D (2018) Sugeno - PI Fuzzy Controller for D-STATCOM based Battery Energy Storage to Improve Power Quality in Distribution Grids, IET Renewable Power Generation.
- 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 (March) 254-267. Dataset/s: 10.17862/cranfield.rd.3834057
- Knap V, Stroe D-I, Christensen AE, Propp K, Fotouhi A, Auger DJ, Schaltz E & Teodorescu R (2017) Self-balancing feature of Lithium-Sulfur batteries, Journal of Power Sources, 372 (December) 245-251.
- Fotouhi A, Auger DJ, Propp K & Longo S (2017) Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies, IET Power Electronics, 10 (11) 1289-1297.
- Fotouhi A, Auger DJ, Propp K, Longo S, Purkayastha R, O'Neill L & Walus S (2017) Lithium-Sulfur cell equivalent circuit network model parameterization and sensitivity analysis, IEEE Transactions on Vehicular Technology, 66 (9) 7711-7721.
- 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) A6081-A6090. Dataset/s: 10.17862/cranfield.rd.c.3858703
- Zhao Y, Görne L, Yuen L-M, Cao D, Sullman M, Auger D, Lv C, Wang H, Matthias R, Skrypchuk L & Mouzakitis A (2017) An orientation sensor based head tracking system for driver behaviour monitoring, Sensors, 17 (11) Article No. 2692. Dataset/s: https://doi.org/10.17862/cranfield.rd.5616850
- Fotouhi A, Auger D, O'Neill L, Cleaver T & Walus S (2017) Lithium-Sulfur battery technology readiness and applications – a review, Energies, 10 (12) Article No. 1937.
- Propp K, Marinescu M, Auger DJ, O'Neill L, Fotouhi A, Somasundaram K, Offer GJ, Minton G, Longo S, Wild M & Knap V (2016) Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries, Journal of Power Sources, 328 (October) 289-299. Dataset/s: 10.17862/cranfield.rd.c.3292031
- Amy T, Kong H, Auger D, Offer G & Longo S (2016) Regularized MPC for power management of hybrid energy storage systems with applications in electric vehicles, IFAC-PapersOnLine, 49 (11) 265-270.
- 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) 195-206. Dataset/s: 10.17862/cranfield.rd.3545847.v1
- 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) 1046-1065.
- Propp K, Fotouhi A, Knap V & Auger DJ (2016) Design, build and validation of a low-cost programmable battery cycler, ECS Transactions, 74 (1) 101-111.
- Fotouhi A, Auger DJ, Propp K, Longo S & Wild M (2016) A review on electric vehicle battery modelling: From Lithium-ion toward Lithium–Sulphur, Renewable and Sustainable Energy Reviews, 56 (April) 1008-1021.
- Fotouhi A, Auger DJ, Propp K & Longo S (2016) A study on battery model parametrisation problem: application-oriented trade-offs between accuracy and simplicity, IFAC-PapersOnLine, 49 (11) 48-53.
- Longo S, Auger DJ & Assadian F (2014) Mechatronics in Sustainable Mobility: Two Electric Vehicle Applications, Journal of Sustainable Mobility, 1 (1) 19-36.
- Auger DJ, Maxime FG, 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) 350-361.
- Othaganont P, Assadian F & Auger D (2014) Sensitivity Analyses for Cross-Coupled Parameters in Automotive Powertrain Optimization, Energies, 7 (6) 3733-3747.
- 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) 259-269.
- Munisamy S, Auger DJ, Fotouhi A, Hawkes B & Kappos E (2021) State of energy estimation in electric propulsion systems with lithium-sulfur batteries. In: 10th IET International Conference on Power Electronics, Machines and Drives (PEMD2020), Virtual Event, 1-3 December 2020.
- Yang L, Semiromi MB, Auger D, Dmitruk A, Brighton J & Zhao Y (2021) The implication of non-driving activities on situation awareness and take-over performance in level 3 automation. In: IECON 2020 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore, 19-21 October 2020.
- Wang Z, Fotouhi A & Auger DJ (2020) State of charge estimation in lithium-sulfur cells Using LSTM recurrent neural networks. In: 2020 European Control Conference (ECC), Saint Petersburg, 12-15 May 2020. Dataset/s: 10.17862/cranfield.rd.11843430
- Lv C, Wang H, Cao D, Zhao Y, Sullman M, Auger DJ, Brighton J, Matthias R, Skrypchuk L & Mouzakitis A (2018) A Novel Control Framework of Haptic Take-Over System for Automated Vehicles. In: 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, Suzhou, 26-30 June 2018.
- Lv C, Wang H, Cao D, Zhao Y, Auger DJ, Sullman M, Matthias R, Skrypchuk L & Mouzakitis A (2017) Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles. In: 2017 IEEE 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, 29 October - 1 November 2017.
- Fotouhi A, Propp K, Samaranayake L, Auger DJ & Longo S. (2016) Electric vehicle battery management algorithm development using a HIL simulator incorporating three-phase machines and power electronics. In: 3rd Biennial International Conference on Powertrain Modelling and Control: Testing, Mapping and Calibration (PMC 2016), Loughborough, 7-9 September 2016.
- Fotouhi A, Shateri N, Auger DJ, Longo S, Propp K, Purkayastha R & Wild M (2016) A MATLAB graphical user interface for battery design and simulation; from cell test data to real-world automotive simulation. In: 2016 13th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), Lisbon, 27-30 June 2016.
- A Fotouhi, DJ Auger, K Propp & S Longo (2016) Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies. In: 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), Glasgow, 19-21 April 2016.
- Fotouhi A, Auger DJ, Cleaver T, Shateri N, Propp K & Longo S (2016) Influence of battery capacity on performance of an electric vehicle fleet. In: 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), Birmingham, 20-23 November 2016.
- Fotouhi A, Propp K & Auger DJ (2015) Electric vehicle battery model identification and state of charge estimation in real world driving cycles. In: 7th computer science and electronic engineering conference (CEEC 2015), Colchester, 24-25 September 2015.
- Al-Jazaeri AO, Samaranayake L, Longo S & Auger DJ (2015) Fuzzy logic control for energy saving in autonomous electric vehicles. In: 2014 IEEE International Electric Vehicle Conference (IEVC), Florence, 17-19 June 2015.
- Propp K, Fotouhi A & Auger DJ (2015) Low-cost programmable battery dischargers and application in battery model identification. In: 7th computer science and electronic engineering conference (CEEC 2015), Colchester, 24-25 September 2015.
- Feig P, Billitteri F, Longo S & Auger DJ (2014) Sensors-models trade-offs in battery state estimation. In: 5th IET Hybrid and Electric Vehicles Conference (HEVC 2014), London, 5-6 November 2014.
- Fotouhi A, Auger DJ, Propp K & Longo S (2014) Simulation for prediction of vehicle efficiency, performance, range and lifetime: a review of current techniques and their applicability to current and future testing standards. In: 5th IET Hybrid and Electric Vehicles Conference (HEVC 2014), London, 5-6 November 2014.
- Auger DJ, Groff MF, Mohan G, Longo S & Assadian F (2013) The impact of battery ageing on an electric vehicle powertrain optimisation. In: 8th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2013), Dubrovnik, 22-27 September 2013.
- Papazoglou A, Longo S, Auger DJ & Assadian F (2013) Computational Aspects of Estimation Algorithms for Battery-Management Systems. In: 8th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES 2013), Dubrovnik, 22 September 2013.
- Rottier P & Auger DJ (2012) Application of DEF STAN 61-22 to guide development and verification of an electrical power system model.. In: INEC 2012: 11th International Naval Conference and Exhibition, Edinburgh, UK, 15 May 2012.
- Butcher J, Clarke N, Pettitt D, Whitten T, Auger DJ & Pacitti G (2012) Development of adaptable UUV systems using model-based design. In: INEC 2012: 11th International Naval Conference and Exhibition, Edinburgh, UK, 15 May 2012.
- Auger DJ, Crawshaw S & Hall SL (2008) Robust H-Infinity Control of a Steerable Marine Radar Tracker. In: UKACC International Conference on Control 2008, Manchester, 2 September 2008.
- Ayadi F, Auger DJ, Fotouhi A & Shateri N (2022) State estimation methodologies for lithium-sulfur battery management systems. In: Lithium-Sulfur Batteries: Advances in High-Energy Density Batteries, Elsevier, p. 491-529.
- Auger DJ, Fotouhi A, Propp K & Longo S (2019) Battery management systems – state estimation for lithium-sulfur batteries. In: Lithium-sulfur batteries, Wiley, p. 249-272.
- Fotouhi A, Propp K, Auger DJ & Longe S (2018) State of charge and state of health estimation over the battery lifespan. In: Behaviour of Lithium-Ion Batteries in Electric Vehicles, Springer International Publishing, p. 267-288, ed. 1.