Electric Mobility Research Articles

Integration of renewable energy into electric vehicle (EV) charging networks

As the demand for electric vehicles (EVs) rises globally, the need to power EV charging networks with renewable energy sources has become increasingly important. This article examines how renewable energy, specifically solar and wind, can be integrated into EV charging infrastructure to enhance sustainability and reduce the carbon footprint of electric mobility. We discuss the technical challenges involved, such as the variability of renewable power, energy storage requirements, and grid capacity constraints. Furthermore, we explore strategic opportunities in smart grids, vehicle-to-grid (V2G) systems, and public-private partnerships that can support large-scale adoption of renewable-powered EV charging stations. Through case studies from leading cities, this article highlights successful approaches and provides insights into policy support and innovative technologies that can facilitate a cleaner, more resilient EV charging ecosystem. Key areas include overcoming the intermittency of renewables, managing energy storage and grid capacity, and identifying policy incentives that facilitate this integration. Overcoming these challenges will be essential for achieving the environmental and energy goals tied to the future of sustainable transportation.

Multiscale Manufacturing of Recyclable Polyimide Composite Aerogels.

Mitigating embodied emissions is becoming increasingly crucial as the energy supply shifts toward more sustainable sources. Bio-based materials present a potentially more sustainable alternative to synthetic polymers; however, it often do not yet match the performance of synthetic materials. Given the ongoing reliance on high-performance, high-environmental-impact materials, it is essential to ensure their complete recyclability. Aerogels, recognized by IUPAC as one of the top ten emerging technologies, are witnessing rapid market growth in thermal insulation and thermal protection applications. In certain applications, synthetic and composite aerogels exhibit superior performance, particularly under high temperatures. Here, molecular simulation tools are employed to elucidate the interaction forces between polymers and solvents, develop a recycling strategy for polyimide-based aerogels, and demonstrate their application in thermal protection for firefighter textiles and thermal runaway protection for Li-ion battery packs. These composites are engineered for disassembly, allowing for the complete recovery of starting materials without any degradation of components after multiple recycling cycles. The recyclable composites can be fabricated using various manufacturing techniques to produce fibers (1D), membranes (2D), and complex structures (3D). This unique combination of outstanding performance and excellent recyclability facilitates the sustainable utilization of aerogels in protective clothing, electric mobility, consumer goods, and aeronautics.

Novel approaches in developing sustainable and cost-effective semi-active suspension systems for smart vehicles—A review

The dynamic evolution of automotive technology necessitates integrating intelligent systems in suspension systems to enhance vehicle dynamic performance and environmental sustainability. The major challenge in the vehicle suspension design is to achieve an optimum tradeoff between riding comfort and ground holding with the available rattle space. Semi-active suspension systems (SASSs), which meet these requirements more effectively than passive and active systems, have gained prominence for their potential. Different SA control strategies and dampers have been developed to enhance dynamic performance. The optimal control strategies and design parameters improve the responsiveness of SASSs in the vehicle dynamic performance. The algorithms attempt to avail the full potential of various dampers controlled electronically. The accurate representation of nonlinearities in mathematical modeling with noise mitigation enhances the practical implementation of novel controllers in SASSs. This review investigates the forefront of research and development in SASSs, focusing on innovative strategies to make these systems more sustainable, adaptive, and cost-effective for smart vehicles. Semi-active magnetorheological dampers have more commercial applications than other dampers, but the high cost makes them unaffordable for economical cars. Several researchers have attempted to develop inexpensive, high-performance dampers that can vary damping coefficients precisely for different road conditions. Real-time energy harvesting-based dampers for sustainable electric mobility are under development. Commercially available SASSs are less expensive than active suspensions but they have limited applications than passive suspensions. The low market share of existing SASSs and their regenerative inability are the major drawbacks in making it a sustainable suspension system. The novel strategies attempted to develop an effective smart suspension system and its limitations are discussed in this review. The next generation of SASSs that aligns with the global drive towards smarter, greener, and economical vehicles is identified.

Use of Distributed Energy Resources Integrated with the Electric Grid in the Amazon: A Case Study of the Universidade Federal do Pará Poraquê Electric Boat Using a Digital Twin

Electric mobility is a global trend and necessity, with electric and solar boats offering a promising alternative for transportation electrification and carbon emission reduction, especially in the Amazon region. This study analyzes the system of a solar boat from an electric mobility project—to be implemented at Universidade Federal do Pará (UFPA)—using MATLAB software for modeling. The Simulink tool was utilized to model the system, focusing on operational parameters such as module voltage, converter voltage, and speed. The results indicate that the solar boat’s operational cost is significantly lower compared to a similar internal combustion model, considering diesel’s high consumption and cost. The environmental impact is also reduced, with nearly 72 tons of CO2 emissions avoided annually, thanks to Brazil’s renewable energy matrix. Simulations confirmed the project’s parameters, demonstrating the efficiency of digital-twin technology in monitoring and predicting system performance. The study underscores the importance of digital twins and renewable energy in promoting sustainable transportation solutions, advocating for the replication of such projects globally. Future research should focus on further advancing digital-twin applications in electric mobility to enhance predictive maintenance and operational efficiency.

ASSESSING THE DEVELOPMENT OF THE BRAZILIAN ELECTRIC VEHICLES MARKET: A STUDY INTEGRATING A STRUCTURE-CONDUCT-PERFORMANCE (SCP) MODEL AND A PESTEL ANALYSIS

Climate change is one of the biggest political and economic challenges faced by global economy. To slow down climate change, mitigation actions and greenhouse gas (GHG) emission targets have been adopted, promoting electric vehicles (EVs) globally. In Brazil, however, emission reduction strategies for the transport sector are based on the broad use of biofuels. This paper studies the Brazilian light-duty vehicle EVs market investigating the reasons behind its current state. A Structure-Conduct-Performance Model with a PESTEL Analysis and the Herfindahl–Hirschman Index integrated to the structure analysis was used. The Brazilian EV market has grown in the period from 2019 to 2023, albeit timidly and restricted to a luxury market. The lack of actions promoting electric mobility, a less than promising economic scenario, the challenges in implementing a charging infrastructure and the conduct of the incumbent firm in the market – investing in high priced hybrid models – contribute to low penetration of EVs in the market and the dominance of hybrids amongst them. In the light of these findings, this study highlights that the Brazilian EVs market would benefit from public policies developed to promote electric mobility, and investment of private companies to develop EV models with more competitive prices.

Optimizing EV fast charging infrastructure: integrating high-gain interleaved converter with advanced MPPT

ABSTRACT Modernizing the Electric Vehicle (EV) charging infrastructure is essential for the widespread adoption of electric mobility. This research addresses the imperative need for enhancing the power performance of photovoltaic (PV) grid-connected inverters for EV fast charging applications. The system integrates Voltage-Oriented Control (VOC) for the PV inverter, a High-Gain Interleaved (Single Ended Primary Inductance Converter) SEPIC-Cuk (HGISC) converter, and a Bald Eagle Search Optimized Adaptive Neuro Fuzzy Inference System (BESO-ANFIS)) algorithm. VOC with Proportional Resonant (PR) ensures optimized energy transfer to grid, while the HGIBC converter enhances power performance. The proposed BESO-ANFIS Maximum Power Point Tracking (MPPT) dynamically tracks the PV array’s Maximum Power Point (MPP) under varying conditions. Additionally, a bidirectional battery converter in the energy storage system optimizes power usage. The synergistic implementation of these advanced controller results in a comprehensive solution, showcasing improved power output, grid integration, and efficient solar energy utilization for EV fast charging. MATLAB simulations and experiments demonstrate 97% efficiency and reduced Total Harmonic Distortion (THD) of 0.98%, positioning this research as an advanced solution for EV charging infrastructure enhancement.

EV Smart-Charging Strategy for Power Management in Distribution Grid with High Penetration of Distributed Generation

Accelerated environmental impacts are a growing concern in the modern world. Electric mobility and the transition to a cleaner energy matrix have become increasingly discussed topics. In this context, this work presents a framework for controlling an electric vehicle (EV)-charging station integrated into a microgrid application as a basis for creating the infrastructure integrated into a smart grid concept. Considering the electrification of the transportation sector future perspectives, a brief review is conducted on the impacts of EV fleet growth in different countries and how smart-charging technologies are identified as solutions for mitigating the negative effects of energy and power consumption associated with EV-charging stations. An analysis of the technical characteristics and the tools that enable the deployment of a fleet-charging operator are examined, specifically focusing on the communication protocol for EVs, such as the OCPP (Open Charge Point Protocol) parameterization/configuration. A new EV-charging station control method is proposed to manage the impacts of distributed solar photovoltaic generation and mitigate the effects of the duck curve. Finally, an integration architecture via IEC 61850 for these elements is proposed, in a practical implementation for variable power control, considering different strategies to deal with distributed generation impact using EV-fleet-charging power demand dynamic management.

Nanosized boron nitride-incorporated polyvinyl alcohol composites with TEMPO-oxidized cellulose nanofibers as ultrathin thermal interface materials

With the miniaturization and dense packing of electrical devices and mobility platforms, the effective thermal management at the interfaces of components in compact form factors is essential to overcome the performance limits and ensure the stability. Herein, we report the development of assembly of nanosized boron nitrides (BN) and TEMPO-oxidized cellulose nanofibers (T-CNFs) in polyvinyl alcohol (PVA) composites as ultrathin thermal interface materials (TIMs). BN nanoparticles (average thickness of 3.8–4.0 nm, lateral size of 90–100 nm, and aspect ratio of 25) were produced with a yield exceeding 80 % from the chemical treatment of hexagonal BN with NaOH and subsequent ball milling. TEMPO-oxidized cellulose nanofibers (T-CNFs) were added to mechanically reinforce the PVA-based matrix, while by the functionalization with OH– groups, the BN particles dispersed readily in the PVA solution, obtaining ultrathin nanosized BN/PVA/T-CNF composite films (∼50 µm). In contrast to the expected low thermal conductivity due to surface defects and high contact resistances typical of nanosized BN, composite films containing 50 wt% nanosized BN exhibited significantly high in-plane and through-plane thermal conductivities of 11.13 and 1.22 W/mK, respectively. Comparative analysis based on the Lewis–Nielsen model revealed that the size, shape, and agglomeration state of the BN particles could highly influence the thermal conductivity of composite films. Furthermore, heat dissipation experiments reflecting practical conditions demonstrated the outstanding performance and thermal stability of nanosized BN/PVA/T-CNF films as TIMs. This study will inspire rational strategies to facilely incorporate nanosized BN to diverse composites, offering advanced thermal characteristics with mechanical robustness.

Multi-level governance and modal thinking: Tensions in electric mobility transitions in European cities

Innovations around electric vehicle (EV) technology are viewed as a promising pathway to rapidly decarbonise transport systems in transition studies. However, the mobility histories and path dependencies that shape these transitions are spatially uneven both horizontally across different geographies and vertically between different scales of authority and responsibility. As such, they are rooted in the assumptions and power relations that underlay the policy processes of city and metropolitan governance. This study takes the novel approach of comparing these processes both horizontally between cities and vertically between levels of government. The analysis is based on 50 expert interviews with local and national actors involved in delivering policy related to electric mobility in four European cities: Bristol, United Kingdom; Oslo, Norway; Poznań, Poland, and Utrecht, Netherlands. In all four cities, national, inter- and supra-national pressures generate a perception among some interviewees that the transition to electric mobility, and particularly the electrification of private cars, is inevitable. Yet because modal thinking permeates urban transport policymaking, the majority of our experts define sustainable and just urban mobility as that involving modes other than the private car. A key contribution of this study is revealing this tension between national EV priorities and urban aims to reduce car traffic, which subconsciously influences local policymakers’ perceptions of the transition to electric mobility. The study also offers new insights into how city and metropolitan policymakers can be more inclusive, innovative, and locally-responsive in shaping policies for accommodating both EVs and new modes like e-scooters.

A comprehensive analysis of India’s electric vehicle battery supply chain: barriers and solutions

This study investigates challenges and solutions for India’s battery supply chain in the growing electric vehicle (EV) market. Key obstacles include raw material dependency, supply chain complexity, production costs, environmental impacts, rapid technological changes, and skilled workforce shortages. Methods involve reviewing current supply chains, evaluating government policies like the FAME and PLI schemes, and analyzing strategic partnerships with countries rich in lithium, cobalt, and nickel. Results show heavy reliance on imports exposes India to geopolitical risks and price volatility, while a fragmented supply chain hinders coordination and quality control. Establishing gigafactories is crucial but requires substantial investment. The study recommends enhancing domestic production, securing raw materials through exploration and international partnerships, investing in R&D for advanced technologies and alternative chemistries, and developing a skilled workforce through specialized training. Implementing these strategies will ensure a robust and sustainable battery supply chain, supporting EV market growth and positioning India as a leader in electric mobility. Further research should focus on long-term environmental impacts and the economic implications of a localized supply chain.

The Art of Balancing Price and Plug: Developing a Theoretical Model for Dynamic Pricing in the Electric Vehicle Market

This study presents a novel approach to understanding the complex dynamics of the electric vehicle (EV) market through the lens of differential game theory. We developed a comprehensive model that captures the strategic interactions between EV manufacturers and charging network operators, while incorporating the effects of consumer behavior, market uncertainties, and reference price effects. Using differential game theory, we examined the impact of reference price effects and the charging network’s influence on pricing strategies, focusing on three distinct approaches: basic pricing, static pricing considering reference price effects, and dynamic pricing strategies. Our model offers new insights into consumer behavior and price expectations in the rapidly evolving EV market. The key findings reveal that under static or dynamic pricing strategies, the optimal pricing for EV manufacturers is positively correlated with the initial reference price. When the initial reference price is high (low), the optimal pricing strategy resembles skimming pricing (penetration pricing). As the effort level of charging network operators increases and their influence on consumers’ purchase decisions grows stronger, EV manufacturers tend to set higher prices. Notably, while dynamic pricing strategies can optimize EV manufacturers’ profits, the profits of charging network operators may decrease compared with static pricing strategies. This integrated approach significantly contributes to the field by bridging gaps among market dynamics, pricing strategies, and the infrastructure’s development in the context of electric mobility, providing a comprehensive framework for understanding and optimizing the EV ecosystem. Ultimately, this study advances sustainable business models that balance profitability, consumer behavior, and the infrastructure’s growth in the rapidly evolving EV market.

The potential of electric agriculture and mobility for the least-cost rural electrification strategy in Sub-Saharan Africa

Electrification is a crucial driver of rural development in Sub-Saharan Africa (SSA), yet progress is often impeded by low demand density, particularly for grid extension. Despite the promising potential of stand-alone and mini-grid systems, rural areas frequently lag behind due to their low economic viability in electrification. Simultaneously, the mechanization of agriculture and the motorization of transport offer the opportunity to increase economic activity. This publication explores the role of electric vehicles (EVs) and electric tractors (ETs) in rural electrification scenarios.We present a methodology to quantify the theoretical impact of EVs and ETs on SSA’s electrification strategies, applied specifically to Nigeria and Chad. Our simulations in Nigeria reveal that not only supply options with higher capacity are needed, but that EVs have the potential to lower the cost of electricity (LCOE) by an average of 54 %, and ETs have the potential to reduce LCOE by 49 %, depending on local mobility and mechanization demand. Rural areas with significant cropland particularly benefit from using ETs to achieve cheaper electricity access. In Chad, where grid infrastructure is minimal, our assessment shows that EVs and ETs can significantly influence least-cost electrification strategies. By 2030, mini-grids will become the least-cost supply option for 60% of the newly connected population, compared to just 13% when only residential demand is considered.Our methodology advances the widely used ONSSET electrification planning model to estimate the maximum joint potential of electrified agriculture, electric mobility and adapted rural electrification strategies. Our approach involves geospatially estimating energy demands using macroscopic available population, land cover, and infrastructure data. The findings underscore the importance of jointly implementing EVs and ETs and electrification strategies for technology leapfrogging, highlighting the economic viability and potential of EVs and ETs in rural scenarios. The results provide policymakers with quantitative indicators on the impact of the implementation for Nigeria and Chad.

Experimental modal identification of a pedestrian bridge through drive-by monitoring integrated with shared-mobility vehicles

In the context of improving resilience in transport infrastructure, an emerging approach of indirect structural health monitoring is gaining attention, known as drive-by monitoring, instrumenting a vehicle with sensors to evaluate the bridges it crosses. However, their effectiveness has predominantly been investigated in ideal scenarios, with actual real-world applications being quite scarce. The research presented in this paper explores the feasibility of combining two routes: (1) fleet emissions reduction and (2) transport resilience enhancement, through drive-by monitoring integrated with shared mobility, including electric mobility scooter and bicycle. The information from drive-by data collected from shared mobility can give valuable information on critical transport infrastructure (e.g., bridges) and such a drive-by database has the potential for network level infrastructure condition assessment. In this paper, two different drive-by roadmaps are investigated subject to the flexibility of the bridges, namely partially or fully drive-by monitoring. To validate the proposed roadmaps, a full-scale pedestrian bridge was chosen for drive-by testing, where smartphone sensors and specialised accelerometers are mounted on shared mobility for data acquisition. Experimental results demonstrate that (i) smartphone sensing can provide data with similar accuracy compared to specialised accelerometers, (ii) bridge frequencies can be easily obtained from temporarily parked shared mobility, with a maximum relative error of 1.05%, (iii) both the bridge frequencies and operational deflection shapes are successfully extracted from the moving shared mobility by using variational mode decomposition and filtering techniques, and shared mobility's GPS data along with moving speeds are collected for potential vehicle positioning and drive-by database updating.

Review of Lithium as a Strategic Resource for Electric Vehicle Battery Production: Availability, Extraction, and Future Prospects

This article presents a comprehensive review of lithium as a strategic resource, specifically in the production of batteries for electric vehicles. This study examines global lithium reserves, extraction sources, purification processes, and emerging technologies such as direct lithium extraction methods. This paper also explores the environmental and social impacts of lithium extraction, emphasizing the need for sustainable and ethical practices within the supply chain. As electric vehicles are projected to account for over 60% of new car sales by 2030, the demand for high-performance batteries will persist, with lithium playing a key role in this transition, even with the development of alternatives to lithium-ion batteries, such as sodium and ammonium-based technologies. However, there is an urgent need for technological advancements to reduce the environmental impact of lithium production and lithium-ion battery manufacturing. Additionally, ensuring the safety of LiBs during both use and recycling stages is critical to sustainable EV adoption. This study concludes that advancements in battery recycling and the development of new technologies are essential to improving safety, reducing costs, and minimizing environmental impacts, thereby securing a sustainable lithium supply and supporting the future of electric mobility.

Scenario-Based Analysis of Electrification Effects on Value Creation and Employment Structures for the Automotive Industry in the Federal State of Baden-Wuerttemberg, Germany

The transformation path to electric mobility will have fundamental impacts on the existing value chain and employment structures in the automotive industry. The purpose of this paper is to derive and examine these effects based on two different electric mobility market scenarios for the European (EU27) passenger car as well as truck market 2040 with special focus on the highly export-oriented industrial automotive cluster in Baden-Wuerttemberg. To achieve this, both a moderate and a progressive market scenario were simulated using the scientifically validated DLR VECTOR21 vehicle technology scenario model, based on two different parameter sets derived from actual and possible framework conditions on the European car and truck markets. Based on a detailed analysis of the industrial branch, value creation, and employee structure in Baden-Wuerttemberg and its automotive cluster, the effects resulting from the transformation to electric mobility will be displayed. With detailed Fade-In and Fade-Out analysis, the shifts from internal combustion engine components to electrified components will be derived and illustrated for each employee segment in the automotive cluster in Baden-Wuerttemberg, which leads to completely new and original results at this level of detail. Furthermore, the detailed display of the automotive cluster in this study allows for regionalized statements on employment effects, considering, for the first time, not only the car but also the truck segment. The analysis shows that battery electric vehicles will achieve a share of 34% or 57% for new registrations on the German car market in 2030, depending on the scenario framework conditions. The resulting employment effects for the entire automotive cluster in Baden-Wuerttemberg reach −37,000 (−8%) or −66,000 (−14%) by 2030 with further negative development until 2040 (−155,000, −30%) for the respective scenarios. Employment segments, in particular powertrain-dependent production employees, are at risk, with a potential decline of up to −60%. R&D employees could be also be significantly, affected with a reduction in workforce of about −50%.

Electro-mobility – an Opportunity to Develop a More Sustainable Transport System

The future of transport is electro-mobility, a technology that ensures environmentally friendly and energy efficient vehicles on the road. But to exploit the full benefits of electric propulsion there are still many challenges to overcome. These challenges are related to the cost and residual value (aftermarket) of the vehicles, battery life and cost, charging and range. This article discusses these challenges as well as the state of the electric vehicle market. The aim is to present to what extent the development of electric mobility in Europe and in Bulgaria will outline a more sustainable transport system and to outline what the opportunities for its development are. Decarburization of transport is key to achieving sustainable mobility ensuring transport connectivity across the continent.

The future of personal electric mobility in emerging economies: A survey of e-moto users in Vietnam

Decarbonizing private transport is crucial in the highly polluted cities of low- and middle-income countries, such as Vietnam. In motorcycle-dominated megacities, this means gradually converting the conventional motorcycle fleet into e-motos. In this study set in Hanoi, we examined the factors that explain existing e-moto riders' attachment to this mode. For this purpose, we built a novel theoretical framework called VEMM (Values and Expectations in Mobility Model), which combines the constructs of the Expectation Confirmation Model (ECM) and the Value-Based Adoption Model (VBAM). Survey data collected from 481 e-moto users in Hanoi were analysed by applying a Partial Least Squares Structural Equation Model (PLS-SEM). We found that the enduring intention to use e-motos is positively related to perceived value, user satisfaction, and perceived usefulness. We controlled for riders' gender, age, education, and living area but only education was statistically significant. Overall, we found that the perceived value of e-motos owed more to the perceived benefits (usefulness, enjoyment, and eco-friendliness) than the perceived costs (risk, price, technicality, habit, and stigma) of this mode. Based on these findings, we recommend that manufacturers consider the critical role of values when designing and promoting e-motos.

PROPOSTA DE ELETROPOSTOS MODULARES PARA CARROS ELÉTRICOS ABASTECIDOS POR ENERGIA SOLAR

In recent years, the growing demand for electric vehicles has intensified the need for adequate infrastructure for their charging. Charging stations, dedicated to supplying energy to these vehicles, play a crucial role in the transition to sustainable urban mobility. This study proposes the development of modular charging stations powered by solar energy, focusing on solutions that favor sustainability and efficiency. The primary objective is to create systems that integrate photovoltaic technology, promoting the use of clean energy and contributing to the reduction of air pollution. The research evaluates the viability of on-grid and off-grid systems, aiming to optimize the efficiency of solar panels and reduce operational costs. Factors such as ideal location, shading prevention, and the environmental impacts of electric mobility are analyzed. Additionally, existing charging station examples are examined to identify best practices and innovations in urban design. The methodology includes exploratory and bibliographic research, utilizing case studies and literature reviews to support the proposal. As a result, the study culminates in a sustainable modular charging station proposal that is adaptable to different locations, promoting more efficient and eco-friendly mobility.

EvPowerStop - Electric Vehicle Station Finder and Slot Scheduler

With the increasing adoption of electric vehicles (EVs) worldwide, a significant challenge has emerged for EV drivers: locating compatible charging stations in real-time and securing slots for efficient use. The transition to electric mobility has created a demand for seamless infrastructure that supports the dynamic needs of EV drivers. Currently, the lack of centralized information on charging station availability and compatibility with specific vehicles leads to inconveniences and delays, reducing the overall efficiency of electric vehicle usage. This project addresses this gap by developing an EV station finder and slot scheduling application—EV Power Stop—designed to simplify the charging process and ensure that EV drivers can plan their trips with confidence. The broader context of this work lies in the realm of smart cities and sustainable transportation. As nations push toward carbon-neutral goals, the role of electric vehicles becomes crucial in reducing emissions and lowering dependency on fossil fuels. For this shift to be effective, smart solutions that integrate transportation with infrastructure are vital. This project aligns with the goals of smart urban mobility by offering a system that leverages real-time data to provide EV drivers with the most up-to-date information on charging station availability. The proposed system uses Flutter as a cross-platform framework for the frontend and Firebase as the backend for managing user data, station information, and slot booking in real-time. APIs like Google Maps are integrated to offer navigational support, ensuring users can easily find and access nearby stations. Key features include user authentication, slot booking, real-time updates on availability, and route guidance. The system is designed with scalability, performance, and security in mind, ensuring that it can handle a growing user base while maintaining quick response times. Initial testing shows that the app responds within 2 seconds for most user interactions, meets usability standards, and securely manages personal data. Future developments will focus on integrating additional functionalities like iOS support, predictive scheduling, and automated slot management to improve efficiency further. This project demonstrates the potential for integrating real-time systems with urban mobility to enhance the electric vehicle user experience and support broader sustainability goals..

Managing grid impacts from increased electric vehicle adoption in African cities

Electric vehicles are pivotal for global climate solutions, particularly in emerging markets like Africa. Despite the continent’s clean energy potential, electric vehicle adoption faces unique challenges due to inefficiencies and reliability issues of distribution power grids. Here, we analyze the impacts of expanding electric vehicle fleets—private, commercial, and paratransit—on Nairobi’s power grid. We simulate traffic patterns, charging behaviors, and transformer utilization using local mobility data. Our results show that while electric commercial and paratransit fleets may improve power system efficiency, widespread private EV adoption could significantly strain the grid, increasing peak loads and transformer aging. Smart charging strategies could mitigate these issues, reducing potential transformer replacement costs by up to 40%. Our study highlights the importance of tailored demand management and infrastructure planning to support EV growth in African cities, providing critical insights for policymakers, utilities, and transport planners to facilitate sustainable electric mobility transitions.