Abstract
The Peukert relationship was originally introduced in 1897 for lead-acid batteries and defines one of the most common parameters for battery performance evaluation. This article assesses its application for lithium-ion batteries. From the performed analysis, we can conclude that the Peukert relationship is suitable in a narrow working range such as limited current range and almost constant working temperature. Taking into account however that lithium-ion traction batteries in battery electric vehicle applications operate under strongly variable conditions, a novel relationship has been developed, allowing a more accurate description of the discharge capacity of lithium-ion batteries than the Peukert relationship does. The proposed new relationship has been derived based on comprehensive experimental analysis of the parameters that affect the battery discharge capacity and can be implemented in battery mathematical models.
Highlights
Since the beginning of the automobile era, the internal combustion engine (ICE) has been used for vehicular propulsion
Energies 2013, 6 spurred the development of various types of clean energy transportation systems such as hybrid electric vehicles (HEVs), battery electric vehicles (BEVs) and plug-in hybrid electric vehicles (PHEVs) [3,4,5]. Due to their beneficial effect on the environment, electric vehicles are an important factor for improvement of traffic and more for a healthier living environment
The model should be equipped with a precise state of charge (SoC) estimation method, because of the dependency of all battery model parameters on this factor
Summary
Since the beginning of the automobile era, the internal combustion engine (ICE) has been used for vehicular propulsion. Motor vehicles powered by the ICE are significant contributors to air pollutants and greenhouse gases linked to global climate change [1,2]. As the global economy begins to strain under the pressure of rising petroleum prices and environmental concerns, researchers have. Due to their beneficial effect on the environment, electric vehicles are an important factor for improvement of traffic and more for a healthier living environment. The model should be equipped with a precise state of charge (SoC) estimation method, because of the dependency of all battery model parameters on this factor
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