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Optimization of the Lifetime and Cost of a PMSM in an Electric Vehicle Drive Train

doi: 10.3390/en16135200
This study focuses on optimizing the lifetime and cost of an electric vehicle powertrain by optimizing the motor’s geometrical parameters and the bus voltage while considering the battery’s sizing. We employ the WLTP driving cycle to evaluate the powertrain’s performance and use finite element and analytical modeling to consider electromagnetic, thermal, and aging behaviors. Our research investigates the interplay between the battery and motor, exploring how varying the motor geometry and parameters affects the powertrain’s overall lifetime and cost. Our findings will contribute to developing more efficient and cost-effective electric powertrains.
- University of Bath United Kingdom
- Université Laval Canada
- Bath Spa University United Kingdom
Technology, [SPI] Engineering Sciences [physics], T, lithium-ion battery sizing, electric powertrain optimization, electric motor modeling lithium-ion battery sizing electric powertrain optimization, electric motor modeling; lithium-ion battery sizing; electric powertrain optimization, electric motor modeling
Technology, [SPI] Engineering Sciences [physics], T, lithium-ion battery sizing, electric powertrain optimization, electric motor modeling lithium-ion battery sizing electric powertrain optimization, electric motor modeling; lithium-ion battery sizing; electric powertrain optimization, electric motor modeling
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).2 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
