The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform

Dragan Maksimovic - One of the best experts on this subject based on the ideXlab platform.

  • Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
    Co-Authors: Anderson Hoke, Alexander Brissette, Annabelle Pratt, Kandler Smith, Dragan Maksimovic
    Abstract:

    This paper presents a method for minimizing the cost of vehicle Battery charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The Simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of Battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.

Anderson Hoke - One of the best experts on this subject based on the ideXlab platform.

  • Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
    Co-Authors: Anderson Hoke, Alexander Brissette, Annabelle Pratt, Kandler Smith, Dragan Maksimovic
    Abstract:

    This paper presents a method for minimizing the cost of vehicle Battery charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The Simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of Battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.

  • Electric vehicle charge optimization including effects of lithium-ion Battery degradation
    2011 IEEE Vehicle Power and Propulsion Conference VPPC 2011, 2011
    Co-Authors: Anderson Hoke, Alexander Brissette, Dragan Maksimovi??, Annabelle Pratt, Kandler Smith
    Abstract:

    This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The Simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.

Kandler Smith - One of the best experts on this subject based on the ideXlab platform.

  • Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
    Co-Authors: Anderson Hoke, Alexander Brissette, Annabelle Pratt, Kandler Smith, Dragan Maksimovic
    Abstract:

    This paper presents a method for minimizing the cost of vehicle Battery charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The Simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of Battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.

  • Electric vehicle charge optimization including effects of lithium-ion Battery degradation
    2011 IEEE Vehicle Power and Propulsion Conference VPPC 2011, 2011
    Co-Authors: Anderson Hoke, Alexander Brissette, Dragan Maksimovi??, Annabelle Pratt, Kandler Smith
    Abstract:

    This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The Simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.

Alexander Brissette - One of the best experts on this subject based on the ideXlab platform.

  • Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
    Co-Authors: Anderson Hoke, Alexander Brissette, Annabelle Pratt, Kandler Smith, Dragan Maksimovic
    Abstract:

    This paper presents a method for minimizing the cost of vehicle Battery charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The Simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of Battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.

  • Electric vehicle charge optimization including effects of lithium-ion Battery degradation
    2011 IEEE Vehicle Power and Propulsion Conference VPPC 2011, 2011
    Co-Authors: Anderson Hoke, Alexander Brissette, Dragan Maksimovi??, Annabelle Pratt, Kandler Smith
    Abstract:

    This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The Simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.

Annabelle Pratt - One of the best experts on this subject based on the ideXlab platform.

  • Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization
    IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
    Co-Authors: Anderson Hoke, Alexander Brissette, Annabelle Pratt, Kandler Smith, Dragan Maksimovic
    Abstract:

    This paper presents a method for minimizing the cost of vehicle Battery charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The Simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of Battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.

  • Electric vehicle charge optimization including effects of lithium-ion Battery degradation
    2011 IEEE Vehicle Power and Propulsion Conference VPPC 2011, 2011
    Co-Authors: Anderson Hoke, Alexander Brissette, Dragan Maksimovi??, Annabelle Pratt, Kandler Smith
    Abstract:

    This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of Battery degradation using a simplified lithium-ion Battery lifetime model. The Simple Battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The Simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.