Daniel Auger
Lecturer
Advanced Vehicle Engineering Centre
Cranfield University
United Kingdom
Biography
Daniel and his research team at Cranfield are experts in control, simulation, application and duty cycle modelling, hardware prototyping, mixed hardware/simulation test environments and state estimation. Typical applications include hybrid and electric vehicles, advanced battery management systems and autonomous road vehicles. Daniel studied at Cambridge, receiving the MEng (Hons) and PhD degrees. He then worked in senior control engineering roles in BAE Systems and in the Consulting Services Group at MathWorks. He joined Cranfield in 2013. He is a chartered engineer, an IET Fellow, an IEEE Senior Member and past chair of the IEEE UK and Ireland Control System Society Chapter.
Research Interest
Daniel's research focuses on Electric and Hybrid Vehicles, Mechatronics & Advanced Controls.
Publications
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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, Early Online.
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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.
