Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach

GENC, Mehmet Onur .
Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach. 
Articles in Press, [S.l.], v. 0, n.0, p. , june 2024. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/>. Date accessed: 18 jul. 2024. 
doi:http://dx.doi.org/10.5545/sv-jme.2023.899.

Genc, M.
(0).
Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach.
Articles in Press, 0(0), .
doi:http://dx.doi.org/10.5545/sv-jme.2023.899

@article{sv-jmesv-jme.2023.899,
	author = {Mehmet Onur  Genc},
	title = {Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
	keywords = {Cargo E-Bike; E-Micromobility; MPC; Road Uncertainty; Lump Thermal Model; State-Space Modeling; },
	abstract = {Cargo E-Bikes are expected to bring out heavy loads even more than the limits in daily life. Also, the expectation from these vehicles is to follow the satisfying longitudinal speed to meet mobility needs with optimized battery model design. In this paper, the model is developed to improve rotational speed motor control via a battery MPC thermal model designed based on experimental field test data. The MPC controllers are mostly preferred in the prediction of the system in which uncertainty is one of the key focuses to be solved. This paper presents the new model configured based on the MPC controller in which the battery and longitudinal control have been designed based on the uncertain experimental road data. Experimental field tests are performed to provide the relation between battery surface and ambient temperatures. Also, in different slope ranges the pedal load and voltage-current data are logged to use as experimental input in MPC integrated 1-D model. The target of the model is constructed based on the thermal lump model controlled MPC design for Cargo E-Bikes by predicting compulsive road disturbances under weight load. This model proposes robust longitudinal speed control for E-Bikes in terms of battery thermal control considering energy and battery life-cycle efficiency methods regardless of driving performance needs.},
	issn = {0039-2480},	pages = {},	doi = {10.5545/sv-jme.2023.899},
	url = {https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/}
}

Genc, M.
0 June 0. Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach. Articles in Press. [Online] 0:0

%A Genc, Mehmet Onur 
%D 0
%T Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach
%B 0
%9 Cargo E-Bike; E-Micromobility; MPC; Road Uncertainty; Lump Thermal Model; State-Space Modeling; 
%! Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach
%K Cargo E-Bike; E-Micromobility; MPC; Road Uncertainty; Lump Thermal Model; State-Space Modeling; 
%X Cargo E-Bikes are expected to bring out heavy loads even more than the limits in daily life. Also, the expectation from these vehicles is to follow the satisfying longitudinal speed to meet mobility needs with optimized battery model design. In this paper, the model is developed to improve rotational speed motor control via a battery MPC thermal model designed based on experimental field test data. The MPC controllers are mostly preferred in the prediction of the system in which uncertainty is one of the key focuses to be solved. This paper presents the new model configured based on the MPC controller in which the battery and longitudinal control have been designed based on the uncertain experimental road data. Experimental field tests are performed to provide the relation between battery surface and ambient temperatures. Also, in different slope ranges the pedal load and voltage-current data are logged to use as experimental input in MPC integrated 1-D model. The target of the model is constructed based on the thermal lump model controlled MPC design for Cargo E-Bikes by predicting compulsive road disturbances under weight load. This model proposes robust longitudinal speed control for E-Bikes in terms of battery thermal control considering energy and battery life-cycle efficiency methods regardless of driving performance needs.
%U https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/
%0 Journal Article
%R 10.5545/sv-jme.2023.899
%& 
%P 1
%J Articles in Press
%V 0
%N 0
%@ 0039-2480
%8 2024-06-19
%7 2024-06-19

Genc, Mehmet Onur.
"Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach." Articles in Press [Online], 0.0 (0): . Web.  18 Jul. 2024

TY  - JOUR
AU  - Genc, Mehmet Onur 
PY  - 0
TI  - Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach
JF  - Articles in Press
DO  - 10.5545/sv-jme.2023.899
KW  - Cargo E-Bike; E-Micromobility; MPC; Road Uncertainty; Lump Thermal Model; State-Space Modeling; 
N2  - Cargo E-Bikes are expected to bring out heavy loads even more than the limits in daily life. Also, the expectation from these vehicles is to follow the satisfying longitudinal speed to meet mobility needs with optimized battery model design. In this paper, the model is developed to improve rotational speed motor control via a battery MPC thermal model designed based on experimental field test data. The MPC controllers are mostly preferred in the prediction of the system in which uncertainty is one of the key focuses to be solved. This paper presents the new model configured based on the MPC controller in which the battery and longitudinal control have been designed based on the uncertain experimental road data. Experimental field tests are performed to provide the relation between battery surface and ambient temperatures. Also, in different slope ranges the pedal load and voltage-current data are logged to use as experimental input in MPC integrated 1-D model. The target of the model is constructed based on the thermal lump model controlled MPC design for Cargo E-Bikes by predicting compulsive road disturbances under weight load. This model proposes robust longitudinal speed control for E-Bikes in terms of battery thermal control considering energy and battery life-cycle efficiency methods regardless of driving performance needs.
UR  - https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/

@article{{sv-jme}{sv-jme.2023.899},
	author = {Genc, M.},
	title = {Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach},
	journal = {Articles in Press},
	volume = {0},
	number = {0},
	year = {0},
	doi = {10.5545/sv-jme.2023.899},
	url = {https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/}
}

TY  - JOUR
AU  - Genc, Mehmet Onur 
PY  - 2024/06/19
TI  - Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach
JF  - Articles in Press; Vol 0, No 0 (0): Articles in Press
DO  - 10.5545/sv-jme.2023.899
KW  - Cargo E-Bike, E-Micromobility, MPC, Road Uncertainty, Lump Thermal Model, State-Space Modeling, 
N2  - Cargo E-Bikes are expected to bring out heavy loads even more than the limits in daily life. Also, the expectation from these vehicles is to follow the satisfying longitudinal speed to meet mobility needs with optimized battery model design. In this paper, the model is developed to improve rotational speed motor control via a battery MPC thermal model designed based on experimental field test data. The MPC controllers are mostly preferred in the prediction of the system in which uncertainty is one of the key focuses to be solved. This paper presents the new model configured based on the MPC controller in which the battery and longitudinal control have been designed based on the uncertain experimental road data. Experimental field tests are performed to provide the relation between battery surface and ambient temperatures. Also, in different slope ranges the pedal load and voltage-current data are logged to use as experimental input in MPC integrated 1-D model. The target of the model is constructed based on the thermal lump model controlled MPC design for Cargo E-Bikes by predicting compulsive road disturbances under weight load. This model proposes robust longitudinal speed control for E-Bikes in terms of battery thermal control considering energy and battery life-cycle efficiency methods regardless of driving performance needs.
UR  - https://www.sv-jme.eu/article/cargo-e-bike-robust-speed-control-using-mpc-battery-thermal-lump-model-approach/

Genc, Mehmet Onur"Cargo E-Bike Robust Speed Control Using MPC Battery Thermal Lump Model Approach" Articles in Press [Online], Volume 0 Number 0 (19 June 2024)