Tag Archives: electric vehicle

xxx A. Puusepp, J. Jõgi and J. Lumi
Climate impact on electric vehicle energy consumption in the Baltic Region
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Climate impact on electric vehicle energy consumption in the Baltic Region

A. Puusepp*, J. Jõgi and J. Lumi

Estonian University of Life Sciences, Institute of Forestry and Engineering, Kreutzwaldi street 1a, EE51006 Tartu, Estonia
*Correspondence: aimarpuusepp@gmail.com

Abstract:

Electric vehicles (EVs) have seen increased interest in recent years as a lower-emission alternative to internal combustion engine (ICE) vehicles, with much of their growth driven by government subsidies and incentives across Europe. However, as these incentives have slowed, the EV market faces new challenges, particularly in the Baltic countries where the climate significantly impacts EV performance. Low temperatures, common in Baltic weather, can notably affect EVs’ range and energy efficiency, influencing operational costs and user satisfaction. Understanding how Baltic weather conditions, primarily temperature, influence the energy consumption of EVs is essential to gaining a deeper understanding of their efficiency in low temperatures and harsh weather conditions. The main aim of this study is to assess the impact of varying weather conditions on EV energy consumption, providing valuable insights into their efficiency under cold and variable climatic conditions. The primary goal is to identify the factors most responsible for increased energy consumption in these conditions. In this study, a series of controlled real-world driving tests were conducted, during which an EV (Nissan Leaf) was driven multiple times along identical routes under different weather conditions. The temperatures during these tests ranged from 20 °C to -15 °C. The 2024/2025 winter season was unusually warm in the Baltic region; therefore, tests could not be conducted at lower temperatures. Variables such as distance, temperature, battery state, and the use of accessories were recorded and subsequently analysed. Additionally, energy losses during EV battery charging were measured and evaluated. The collected data was analysed statistically, and mathematical models were developed to provide accurate predictions of battery usage under varying ambient temperatures. The results indicate that low temperatures increase EV energy consumption due to the additional energy required for battery and cabin heating. A more detailed analysis reveals that the most significant increase in energy consumption occurs at an ambient temperature of -10 °C. Overall, this study demonstrates that Baltic weather conditions can lead to a substantial decrease in EV range and efficiency, with low temperatures being the most impactful factor. By providing real-world data, this study contributes to a deeper understanding of EV efficiency in the Baltic region, offering practical insights for EV users and researchers.

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935–944 D. Berjoza, V. Pirs and I. Jurgena
Possibilities to identify defective electric automobile batteries
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Possibilities to identify defective electric automobile batteries

D. Berjoza¹, V. Pirs¹ and I. Jurgena²

¹Latvia University of Life Sciences and Technologies, Faculty of Engineering,
Motor Vehicle Institute, J. Cakstes 5, LV–3001 Jelgava, Latvia
²Latvia University of Life Sciences and Technologies, Faculty of Economics and Social
Development, Institute of Business and Management Science, Svetes street 18,
LV–3001 Jelgava, Latvia
*Correspondence: dainis.berjoza@llu.lv; inara.jurgena@llu.lv

Abstract:

A pack of batteries is one of the most important and expensive assemblies for an electric vehicle. A pack of batteries is comprised of several batteries connected in series. The number of the batteries connected depends on the operating voltage of the vehicle’s on-board system as well as on the individual characteristics of the batteries used, e.g. the operating voltage of a single cell. One or several cells of a pack of batteries could be damaged if improperly exploiting an electric vehicleexcessively discharging the batteries or overloading the electric vehicle. If a self-converted vehicle does not use an intellectual BMS (battery management system) that can identify and register voltage drop for any individual cell in the high-load regime, e.g. when accelerating, it is difficult to identify and change the cells damaged. In case a cell does not demonstrate a complete failure, it is almost impossible to identify a defect in any regime other than the load regime.

The research developed and compared three different methods for identifying defective battery cells. The methods were approbated on a converted Renault Clio. The experiment involved making voltage  measurements in road tests, running the electric vehicle on a roll test bench and making voltage measurements of maximally discharged batteries in the no-load regime. A comparison of the measurement results revealed that the measurements made in the road tests were the most accurate and useful. After the  experiment, the defective battery cells were replaced, thereby restoring the performance of the battery pack.

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958-967 D. Berjoza, V. Pīrs and I. Jurgena
Investigation into the performance characteristics of electric automobiles by means of a data logger
Abstract |

Investigation into the performance characteristics of electric automobiles by means of a data logger

D. Berjoza¹*, V. Pīrs¹ and I. Jurgena²*

¹Latvia University of Life Sciences and Technologies, Technical Faculty, Institute of Motor Vehicles, 5 J. Cakstes boulevard, LV-3001 Jelgava, Latvia
²University of Life Sciences and Technologies, Faculty of Economics and Social Development, Institute of Business and Management Science, 18 Svetes street LV-3001 Jelgava, Latvia
*Correspondence: dainis.berjoza@llu.lv; inara.jurgena@llu.lv

Abstract:

Fossil fuel deposits are constrained in the world. Various alternative energy sources are introduced in vehicles to limit the depletion of fossil fuel reserves and to reduce environmental pollution. One of the alternative energy sources is electricity. The use of electric automobiles has begun in the Baltic States too, yet accurate performance parameters of the automobiles, which could sometimes differ from the technical characteristics specified, are not always known. Road testing an electric automobile was performed using a data logger that recorded the battery’s voltage, current, temperature and the automobile’s speed. These parameters allowed computing changes in the electric automobile’s power output under various driving regimes, e.g. acceleration or braking. Road testing the electric automobile was done under two driving regimes – urban and non-urban – on a certain route. The experiment represented a full cycle road test, with the batteries fully charged, that lasted until the batteries were discharged to a minimum level, which was limited by the battery management system (BMS). The experiment identified the maximum current as well as the effectiveness of the regenerative braking system.

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