Page 25 - ASME DSCC 2015 Program

Technical Program

Road Roughness Preview With Drive History A Diagnostic Scheme for Detection, Isolation and Estimation of
Contributed regular paper. DSCC2015-9726 Electrochemical faults in lithium-ion Cells
nanjun liu, Ford, Palo Alto, CA, United States, Andrew G. Alleyne, Invited session paper. DSCC2015-9699
University of Illinois at Urbana-Champaign, Urbana, IL, United States, Tom Satadru Dey, Beshah Ayalew, Clemson University, Greenville, SC, United
Pilutti, Shane Elwart, Ford Motor Company, Dearborn, MI, United States States
This study has proposed a method of improving vehicle ride quality Improvement of the safety and reliability of the Lithium-ion (Li-ion) battery op-
capitalizing on repetitive driving. When vehicle is driving over the same eration is one of the key tasks for advanced Battery Management Systems
road features repetitively, a drive-history map is created, and an optimal (BMSs). It is critical for BMSs to be able to diagnose battery electrochemi-
suspension profile is generated for that road feature. When it is detected cal faults that can potentially lead to catastrophic failures. In this paper, an
that the vehicle is travelling over the same road feature again, the optimized observer-based fault diagnosis scheme is presented that can detect, isolate
suspension profile is applied to correct any disturbance preemptively to and estimate some internal electrochemical faults. The scheme uses a
optimize passengers experiences. The algorithm is implemented on a full- reduced-order electrochemical-thermal model for a Li-ion battery cell. The
car model using Carsim, and simulation results are obtained to identify any paper first presents a modeling framework where the electrochemical faults
improvements. are modeled as parametric faults. Then, multiple sliding mode observers
are incorporated in the diagnostic scheme. The design and selection of the
InVITED SESSIon observer gains as well as the convergence of the observers are verified
2-4-1 WA7 Battery Management 1
Elijah Pierce A 10:00am–12:00pm theoretically via Lyapunov’s direct method. Finally, the performance of the
observer-based diagnostic scheme is illustrated via simulation studies.
Session Organizer: Beshaw Ayalew, Clemson University Battery Charge Control With an Electro-Thermal-Aging Coupling
Session Organizer: Scott Moura, University of California, Berkeley Invited session paper. DSCC2015-9705
Session Chair: Marcello Canova, The Ohio State University xiaosong hu, hector perez, Scott Moura, University of California, Berkeley,
Session Co-Chair: Hector Perez, University of California Berkeley, CA, United States
Efficient and safe battery charge control is an important prerequisite for
Model order Reduction of Electrochemical Batteries using Galerkin
large-scale deployment of clean energy systems. This paper proposes
Method
an innovative approach to devising optimally health-conscious fast-safe
Invited session paper. DSCC2015-9788
charge protocols. A multi-objective optimal control problem is mathe-
Guodong fan, Center For Automotive Research, OSU, Columbus, OH, matically formulated via a coupled electro-thermal-aging battery model,
United States, Marcello Canova, The Ohio State University, Columbus, OH, where electrical and aging sub-models depend upon the core temperature
United States
captured by a two-state thermal sub-model. The Legendre-Gauss-Radau
This paper presents a model order reduction (MOR) method for modeling (LGR) pseudo-spectral method with adaptive multi-mesh-interval collocation
and estimation of a first-principles electrochemical Lithium-ion battery. The is employed to solve the resulting highly nonlinear six-state optimal control
MOR approach combines the Galerkin method with coordinate transforma- problem. Charge time and health degradation are therefore optimally
tion and is applied to solve the spherical diffusion problem with non-zero traded off, subject to both electrical and thermal constraints. Minimum-time,
flux boundary conditions. The order of the reduced-order model (ROM) minimum-aging, and balanced charge scenarios are examined in detail. The
is carefully selected based on analysis both in the frequency and time implications of the upper voltage bound, ambient temperature, and cooling
domains. With the reduced-order diffusion model, an enhanced single par- convection resistance to the optimization outcome are investigated as well.
ticle model which incorporates the electrolyte dynamics is developed and
validated against the experimental data.

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