Damon R. Frisch
General Motors
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Publication
Featured researches published by Damon R. Frisch.
Journal of The Electrochemical Society | 2005
Mark W. Verbrugge; Damon R. Frisch; Brian J. Koch
An adaptive algorithm based on weighted recursive least squares is derived and implemented. The generality of the approach is underscored by the application of the algorithm to a 42 V lead acid and a high-voltage (375 V) nickel metal hydride battery system. The algorithm is fully recursive in that the only variables required for on-line regression are those of the previous time step and the current time step. A time-weighting technique often referred to as exponential forgetting is employed to damp exponentially the influence of older data on the regression analysis. The output from the adaptive algorithm is the battery state of charge (remaining energy), state of health (relative to the batterys nominal rating), and power capability. Such algorithms are likely to play a critical role in optimal operation of hybrid electric vehicles and on-board diagnostics. The behavior of the algorithm in terms of convergence, accuracy, and robustness is examined.
ieee conference on prognostics and health management | 2008
Xidong Tang; Xiaodong Zhang; Brian J. Koch; Damon R. Frisch
Accurate estimation of battery state of charge (SOC) is essential for battery control and effective energy management of hybrid electric vehicles (HEV). Battery hysteresis poses a big challenge to the estimation of SOC. In the present battery state estimator (BSE), a rule-based hysteresis estimation method for nickel metal hydride (NiMH) batteries is used due to the lack of physical hysteresis models. The rule-based hysteresis estimation method gives only a coarse result with limited accuracy. To improve estimation accuracy and algorithm robustness, a new on-board algorithm, based on the Preisach operator, is developed to estimate battery hysteresis. The enhanced model-based algorithm is then integrated into the BSE algorithms for evaluation. Simulation and preliminary evaluation results for NiMH batteries show significant improvement in the accuracy and robustness of SOC estimation.
Archive | 2003
Mark W. Verbrugge; Edward D. Tate; Damon R. Frisch; Brian J. Koch
Archive | 2002
Mark W. Verbrugge; Edward D. Tate; Damon R. Frisch; Ramona Y. Ying; Brian J. Koch; Shawn D. Sarbacker
Archive | 2003
Edward D. Tate; Mark W. Verbrugge; Brian J. Koch; Damon R. Frisch
Archive | 2007
Jian Lin; Xidong Tang; Brian J. Koch; Damon R. Frisch; Michael J. Gielniak
Archive | 2003
Edward D. Tate; Mark W. Verbrugge; Brian J. Koch; Damon R. Frisch
Archive | 2009
Jian Lin; Xidong Tang; Brian J. Koch; Joseph M. Lograsso; Andrew J. Namou; Rezina S. Nabi; Damon R. Frisch
Archive | 2010
Jian Lin; Xidong Tang; Brian J. Koch; Joseph M. Lograsso; Damon R. Frisch; Rezina S. Nabi
Archive | 2009
Edward D. Tate; Charles A. Massoll; Anthony L. Posawatz; John R. Ferris; Madhusudan Raghavan; Damon R. Frisch; Partha P. Goswami