Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
151
Accurate Online Power Estimation and Automatic Battery Behavior Based Power Model Generation for
- Smartphones, Eighth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
, 2010
"... This paper describes PowerBooter, an automated power model construction technique that uses built-in battery volt-age sensors and knowledge of battery discharge behavior to monitor power consumption while explicitly controlling the power management and activity states of individual com-ponents. It r ..."
Abstract
-
Cited by 194 (5 self)
- Add to MetaCart
-ponents. It requires no external measurement equipment. We also describe PowerTutor, a component power manage-ment and activity state introspection based tool that uses the model generated by PowerBooter for online power esti-mation. PowerBooter is intended to make it quick and easy for application developers and end
SOC Estimation Based Combined Model For Vehicle Batteries
"... Abstract. Batteries play an essential role in electric vehicles, In order to achieve an optimum operation of systems with batteries it is necessary to estimate accurate of the state of charge (SOC). In this paper a combined model for SOC estimation in Vehicle Batteries, based on extended Kalman filt ..."
Abstract
- Add to MetaCart
Abstract. Batteries play an essential role in electric vehicles, In order to achieve an optimum operation of systems with batteries it is necessary to estimate accurate of the state of charge (SOC). In this paper a combined model for SOC estimation in Vehicle Batteries, based on extended Kalman
Adaptive PDE Observer for Battery SOC/SOH Estimation
- in 2012 ASME Dynamic Systems and Control Conference, Ft. Lauderdale, FL
, 2012
"... This paper develops an adaptive PDE observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter information enables operation near physical limits without compromising durability, thereby unlock-ing the full potential of battery energy storage. SOC/ ..."
Abstract
-
Cited by 7 (3 self)
- Add to MetaCart
are developed, inte-grated together, and tested. These include a backstepping PDE state estimator, a Padé-based parameter identifier, nonlinear pa-rameter sensitivity analysis, and adaptive inversion of nonlinear output functions. The end result is the first combined SOC/SOH battery estimation algorithm
Research Article Automotive Battery Modelling and Management
, 2011
"... The estimation of vehicle battery performance is typically addressed by testing the battery under specific operation conditions by using a model to represent the test results. Approaches for representing test results range from simple statistical models to neural networks to complex, physics-based m ..."
Abstract
- Add to MetaCart
The estimation of vehicle battery performance is typically addressed by testing the battery under specific operation conditions by using a model to represent the test results. Approaches for representing test results range from simple statistical models to neural networks to complex, physics-based
A practical framework of electrical based online state-of-charge estimation of lithium ion batteries
"... h i g h l i g h t s We develop an electrical model based on the principle of electrochemistry. This model agrees well with its experimental EIS spectra and discharging curve. The maximum initial capacity can be obtained simply through its discharging curve. Enable on-line estimation of the capacity ..."
Abstract
- Add to MetaCart
h i g h l i g h t s We develop an electrical model based on the principle of electrochemistry. This model agrees well with its experimental EIS spectra and discharging curve. The maximum initial capacity can be obtained simply through its discharging curve. Enable on-line estimation
Temperature-constrained power control for chip multiprocessors with online model estimation
- in ISCA
, 2009
"... As chip multiprocessors (CMPs) become the main trend in processor development, various power and thermal management strategies have recently been proposed to optimize system performance while controlling the power or temperature of a CMP chip to stay below a constraint. The availability of per-core ..."
Abstract
-
Cited by 47 (19 self)
- Add to MetaCart
while maintaining the temperature of each core below a specified threshold. Furthermore, an online model estimator is designed to achieve analytical assurance of control accuracy and system stability, even in the face of significant workload variations or unpredictable chip or core variations. Empirical
1 Sensitivity Analysis of Lithium-Ion Battery Model to Battery Parameters
"... Abstract—Different models have been proposed so far to represent the dynamic characteristics of batteries. These models contain a number of parameters and each of them represents an internal characteristic of the battery. Since the battery is an entity that works based on many electrochemical reacti ..."
Abstract
- Add to MetaCart
Abstract—Different models have been proposed so far to represent the dynamic characteristics of batteries. These models contain a number of parameters and each of them represents an internal characteristic of the battery. Since the battery is an entity that works based on many electrochemical
Adaptive Partial Differential Equation Observer for Battery Stateof-Charge/State-of-Health Estimation Via an Electrochemical Model”.
- Journal of Dynamic Systems, Measurement, and Control,
, 2013
"... This paper develops an adaptive partial differential equation (PDE) observer for battery state-of-charge (SOC) and state-of-health (SOH) estimation. Real-time state and parameter information enables operation near physical limits without compromising durability, thereby unlocking the full potential ..."
Abstract
-
Cited by 5 (2 self)
- Add to MetaCart
potential of battery energy storage. SOC/SOH estimation is technically challenging because battery dynamics are governed by electrochemical principles, mathematically modeled by PDEs. We cast this problem as a simultaneous state (SOC) and parameter (SOH) estimation design for a linear PDE with a nonlinear
Model-Based Condition Monitoring for Lithium-ion Batteries ✩
, 2015
"... Condition monitoring for batteries involves tracking changes in physical parameters and oper-ational states such as state of health (SOH) and state of charge (SOC), and is fundamentally important for building high-performance and safety-critical battery systems. A model-based condition monitoring st ..."
Abstract
- Add to MetaCart
Condition monitoring for batteries involves tracking changes in physical parameters and oper-ational states such as state of health (SOH) and state of charge (SOC), and is fundamentally important for building high-performance and safety-critical battery systems. A model-based condition monitoring
for Model-Based Condition Monitoring of Lithium-ion Batteries
, 2014
"... This paper proposes a novel parameter identification method for model-based condition moni-toring of lithium-ion batteries. A fast UD factorization-based recursive least square (FUDRLS) algorithm is developed for identifying time-varying electrical parameters of a battery model. The proposed algorit ..."
Abstract
- Add to MetaCart
algorithm can be used for online state of charge, state of health and state of power estimation for lithium-ion batteries. The proposed method is more numerically stable than con-ventional recursive least square (RLS)-based parameter estimation methods and faster than the existing UD RLS-based method
Results 1 - 10
of
151
