Are hybrid-powertrains the right solutions to meet the EU-emission-targets 2030?

Eifler, Gerald; Dau, Alexander; Wetscher, Markus

doi:10.1007/978-3-658-29943-9_3

Cited by 3 publications

(1 citation statement)

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“…The battery is usually oversized because the battery cells degenerate throughout the lifetime, resulting in a capacity and power fade. To comply with car manufacturers' warranty agreements for the battery lifetime and meet future emission requirements [12,13], it is crucial to predict the battery degradation precisely and oversize the components as little as possible. Additionally, real-world driving emissions [14] and in-service conformity requirements [15] of the powertrain system emphasize the need for complete lifecycle analysis of all components.…”

Section: Introductionmentioning

confidence: 99%

A Review on Aging-Aware System Simulation for Plug-In Hybrids

Frambach

Liedtke

Dechent

et al. 2022

IEEE Trans. Transp. Electrific.

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The lithium-ion battery is a vital powertrain component in plug-in hybrid electric vehicles (PHEVs). The fuel reduction potential and cost-effectiveness of these vehicles depend on the sizing of the powertrain components as well as on their utilization, which is defined by the energy management system (EMS). The battery is affected by power and capacity reduction over the lifetime of the vehicle, which needs to be considered during the design process to ensure the performance goals throughout the vehicle lifetime. Current literature regarding battery aging usually contains experimental results, which are not transformed into a useful aging model for system simulations. Consequently, battery aging is often neglected, which is why this paper intends to help researchers understand the degradation process of batteries in PHEVs and consider this in their simulation and dimensioning process. First, PHEV powertrain topologies and components are presented. Afterward, battery degradation mechanisms and recent findings are explained, followed by appropriate modeling approaches for different simulation targets. Finally, current aging-aware EMS literature is systematically reviewed and the integration of the aging models is analyzed, so researchers in system simulation areas can improve their powertrain models.

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Section: Introductionmentioning

confidence: 99%