TY - JOUR
T1 - Decomposition-Based Integrated Optimal Electric Powertrain Design
AU - Fahdzyana, Chyannie Amarillio
AU - Salazar, Mauro
AU - Donkers, M.C.F. (Tijs)
AU - Hofman, Theo
PY - 2022/6/1
Y1 - 2022/6/1
N2 - This paper presents a decomposed co-design optimization framework for an electric vehicle powertrain equipped with a Continuously Variable Transmission (CVT). We jointly design the sizes of the powertrain components and the energy management strategy, considering the design and the dynamics of the transmission. Specifically, we divide the resulting nonlinear optimization problem into separate hierarchical optimization subproblems leveraging the concept of Analytical Target Cascading (ATC). Furthermore, we compare the proposed decomposition-based strategy with a centralized approach, in which we solve the same problem, and show that the method presented in this paper can be a potential alternative to a centralized optimization formulation for solving the large-scale, complex integrated plant and control system design. Finally, we compare the resulting performance of using a CVT on the vehicle total-cost-of-ownership with that equipped with a Fixed-Gear Transmission (FGT), which is what is commonly implemented in current electric vehicles. Our results show that by jointly optimizing the design of the transmission along with the control strategy, the CVT yields a lower energy consumption and total-cost-of-ownership compared to that of the FGT.
AB - This paper presents a decomposed co-design optimization framework for an electric vehicle powertrain equipped with a Continuously Variable Transmission (CVT). We jointly design the sizes of the powertrain components and the energy management strategy, considering the design and the dynamics of the transmission. Specifically, we divide the resulting nonlinear optimization problem into separate hierarchical optimization subproblems leveraging the concept of Analytical Target Cascading (ATC). Furthermore, we compare the proposed decomposition-based strategy with a centralized approach, in which we solve the same problem, and show that the method presented in this paper can be a potential alternative to a centralized optimization formulation for solving the large-scale, complex integrated plant and control system design. Finally, we compare the resulting performance of using a CVT on the vehicle total-cost-of-ownership with that equipped with a Fixed-Gear Transmission (FGT), which is what is commonly implemented in current electric vehicles. Our results show that by jointly optimizing the design of the transmission along with the control strategy, the CVT yields a lower energy consumption and total-cost-of-ownership compared to that of the FGT.
KW - electric vehicles, co-design, optimization, continuously variable transmission
KW - Costs
KW - co-design
KW - system design
KW - Loss measurement
KW - Batteries
KW - Vehicle dynamics
KW - Optimization
KW - Electric machines
KW - optimization
KW - Mechanical power transmission
KW - continuously variable transmission
KW - simultaneous design
KW - multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=85126280765&partnerID=8YFLogxK
U2 - 10.1109/TVT.2022.3156472
DO - 10.1109/TVT.2022.3156472
M3 - Article
AN - SCOPUS:85126280765
SN - 0018-9545
VL - 71
SP - 6044
EP - 6058
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 6
M1 - 9729544
ER -