A Study on Electric Vehicle Footprint in South Africa
Abstract
:1. Introduction
2. Concerns About Greenhouse Gas Mitigation Potentials
3. Electric Vehicle Usage in South Africa
- Battery electrical vehicle (BEV): This is alternatively referred to as an All-Electric Vehicle (AEV), and it operates solely using a battery pack and an electric motor. Thus, requires no ICE. Electric trains/tractions, bikes, buses, trucks, etc., are a few BEV examples. The usage of these types of vehicles is slowly increasing in South Africa [40].
- Hybrid electrical vehicle (HEV): To boost fuel efficiency without compromising the performance of an electric vehicle brings the emergence of HEV. This type of vehicle requires an ICE and one or more electric motors; therefore, it is not counted as a zero-emission EV design. Mechanical energy generated in the ICE is used in charging the battery, which is later used to power the HEV. There is no means of plugging the battery of a hybrid electric vehicle into the grid or power source; instead, the battery is charged through the internal combustion engine and regenerative braking. Opting for a smaller engine in this setup would offer significant benefits. Furthermore, the battery can minimize engine idling during stops and supply power to auxiliary systems.
- Plugin hybrid electric vehicles (PHEVs): The plugin hybrid EV is similar to the HEV, but there is an availability of externally charging the battery by plugging it into an external power source like the grid. In PHEVs, the ICE operates using petrol or any fossil fuels, whereas the electric motor derives power from the batteries. The PHEV batteries can be charged through a power outlet, a charging device, or by utilizing regenerative braking. Generally, the vehicle operates on electric power until the battery’s charge depletes significantly, after which it switches to using the internal combustion engine.
- Fuel cell electric vehicle (FCEV): The FCEV employs a fuel cell stack, which is a collection of electrodes that utilize hydrogen and oxygen to generate electricity. The generated electricity is then used to power the electric motor. Unlike other electric vehicles, FCEVs produce their own electricity using hydrogen fuel cells rather than relying solely on a battery. While vehicle makers have the potential to create a FCEV that allows plug-in charging of the battery, the majority of current FCEVs utilize the battery for various purposes. These include recapturing energy from braking, providing extra power during short bursts of acceleration, and enhancing the consistency of power supplied by the fuel cell. Additionally, the battery offers the flexibility to idle or deactivate the fuel cell during situations of low power demand. In addition, FCEVs are subject to progressive performance degradation over extended operational periods, which poses significant challenges to their reliability and cost-effectiveness. This degradation impacts key performance metrics, including efficiency and output power, while simultaneously reducing the service life of the cells and escalating maintenance and replacement costs. Consequently, the precise prediction of fuel cell performance degradation is of critical theoretical and practical importance [41].
Country | Quantity and EV Sales | Charging Stations [54] | Year | REF |
---|---|---|---|---|
United States | ≅2.5 million with 1.6 m sold in 2023 | 100,000 slow and 28,000 fast | 2022, 2023 | [55,56,57,58] |
Canada | 141,060 with 7.7% of total registered vehicle in 1st quarter of 2022 | 17,000 slow, 3900 fast | 2022 | [59] |
Italy | 244,944 with 1,316,702 units sales in 2022 making 8.6% of total vehicles shares | 31,000 slow, 6500 fast | 2022 | [60] |
Germany | 1.59 million with 833,500 units sales, up 22% from 2021 | 64,000 slow, 13,000 fast | 2021, 2022 | [61,62,63] |
UK | 660,000 with 1 million registered making 2.5% of registered vehicles | 42,000 slow, 8600 fast | 2022 | [64,65] |
South Africa | 4337 With 2137 sales in 2022 | 285 | 2021, 2022 | [40,66,67,68] |
Australia | 83,000 with 3.8% of all new vehicle sales in Australia in 2022 | 3600 | 2022 | [69,70,71] |
New Zealand | 68,543 with 73,660 sales in 2023 | 340 | 2022, 2023 | [72,73] |
China | 5.9 million with 58% of global EV sold and 10.2 minion sales in 2022 | 1.8 million, 1,000,000 slow, 760,000 fasts | 2022, 2023 | [74,75] |
South Korea | 131,000 sales in 2022 | 180,000 slow, 21,000 fast | 2022 | [61,76] |
4. Challenges to EV Adoption in South Africa
4.1. Cost
4.2. Consumer Perception of EVs
4.3. Economic Factors
4.4. Loadshedding
4.5. Charging Stations
4.6. Security
5. Further Focus Areas for EVs in South Africa
5.1. Present Research Organizations Sponsoring EVs
REF | Area of Study | Summary of Study | Result |
---|---|---|---|
[15,36,108] | Affordability of battery electric vehicles and market penetration | Employs a system dynamic model to forecast the cost of BEVs in South Africa. It also incorporates various parameters, including the gross domestic product (GDP), BEV growth drivers, and the national electricity consumption for charging, among others. The researchers aim to predict the regional affordability of BEVs in South Africa. | The findings indicate that the targeted low growth value of 233,700 battery electric vehicles (BEVs) by 2040 is unachievable. Additionally, the cumulative CO2 emissions from 2019 to 2040 will yield negligible reductions, and thus be insufficient for significant emission mitigation. |
[109,110] | Distribution network analysis for EV | The study utilizes a simplified Monte Carlo simulation to estimate the hosting capacity of EVs on South African low voltage networks. Thus, probabilistically assess the network’s ability to accommodate a specific number of EVs charging concurrently without experiencing adverse power quality problems. | The results show a worst-case scenario of 5 to 8 hosting capacity and 9 to 13 for best hosting capacity. Moreover, variations in the hosting capacity index are influenced by the geographic placement of the charging station. |
[111,112,113,114] | Battery manufacturing and technology | Zero Emission Battery Research Activity (ZEBRA) strategy for the effective removal of harmful substances from the manufacturing of Battery. | The primary objective of ZEBRA batteries is to deliver extended lifespan and exceptional reliability while minimizing cell corrosion. Technical hurdles to overcome include enhancing the battery’s specific power towards the end of discharge and achieving cost-effectiveness. |
[115,116,117,118,119,120] | Smart Grid and renewable energy for charging of EVs | Deploying of different renewable energy sources for the charging of EVs. Also utilizes smart grids and microgrids to effectively reduce the carbon footprints from non-renewable energy generation. | The findings show that smart charging systems for EVs are key to EV market penetration. Distributive generation utilizing renewable energy is also a key to reducing the power fluctuation from the grid. |
[13,17,21,45,121,122,123,124,125,126] | Ethics, risk, and policies for the EV adoption or transitioning to EVs | These research works focused on the ethics and policies related to EVs. They highlight all the challenges facing EV adoptions. | A solution was proposed appropriately for African governments and different entities to offer a smooth transition to EVs. |
[42,127,128,129] | Emission through the usage of ICE in South Africa | The usage of ICE vehicles in South Africa contribute to greenhouse gas emissions. These emissions primarily consist of carbon dioxide (CO2) and other pollutants like nitrogen oxide (NO), particulate matter (PM), and hydrocarbons. | These studies highlight different opinions on the ICE emissions and the carbon tax law. |
[130,131,132] | Progress and sustainable methods for EVs and E-mobility | Analysis of different sustainable indicators for developing countries using EVs was evaluated with different roadmaps to reduce the overreliance on the electric grid. | Results show that Egypt and Morocco lead in the EV transitioning in Africa, and further shows that the potential reduction of CO2 emissions by 54% is possible if Africa transitioned to e-mobility |
[133,134] | Towards the manufacturing of EVs, which metals are rare and vulnerable to supply risk? | Indeed, the manufacturing of electric vehicles (EVs) relies on the use of certain rare metals, and research has shed light on the geopolitical and environmental risks associated with the mining and processing of these metals. These concerns are paramount due to the potential impact on resource availability, geopolitical tensions, and environmental consequences. | The findings in this research show that several African countries boast of abundant reserves of critical materials for the manufacturing or EVs, including cobalt, nickel, lithium, copper, aluminum, manganese, and others. It also outlines significant roles of global supply chains of EV raw materials. Analyzing these dynamics is crucial to assessing and monitoring future market transformations |
[22,135,136,137] | EV charging infrastructure and optimization | These articles introduced a novel approach for evaluating the appropriate carport power selection for electric vehicles (EVs) by employing the Metalog probability distribution family. The proposed method aims to enhance the efficiency and accuracy of determining the optimal carport power capacity for charging EVs. | The results show successful modelling of an efficient, sustainable, and economical electric vehicle charging stations that benefit both the grid and the environment using POET (performance, operation, equipment, and technology) energy efficiency improvement and management framework |
[138,139] | Introducing EVs and initial research | Some of the first research works on EVs highlight South Africa as one of the countries with the lowest cost of electricity globally and thus of the opinion that this will be of high benefits to usher in the era of EVs. | The results show a significant reduction in total emissions when a comparative study where all ICE vehicles were replaced with an EV. The conclusion shows that, though impossible to fully implement this transition, a gradual change is needed to save SA automobile industries. |
[140] | Education and research for debt relief | This research advocated for ‘debt-for-science’ swaps in Africa, a concept where creditors would forgive a portion of a country’s debt in return for increased investment in research and development as an incentive for bolstering scientific endeavours in the region. | The author’s conclusion highlights the alarming fact that approximately 600 million individuals in Africa face a lack of access to electricity, a fundamental necessity. Furthermore, this figure exhibits a concerning trend of stagnation rather than decline. Without the implementation of innovative mechanisms such as debt-for-science swaps and other creative solutions, numerous African nations remain susceptible to a vicious cycle of debt and austerity. |
[141] | Green Transport Demonstration Project | This study demonstrates the role of clean energy and eco-friendly transportation technologies in advocating for environmentally conscious transport solutions and partially mitigating CO2 emissions. The objective is to initiate the production of the Joule electric vehicle within South Africa. | The research outlines the establishment of the Green Transport Centre in South Africa for exhibition during the FIFA 2010 World Cup. Different EV projects were displayed, and the best of the projects was the development of ZEBRA batteries by the Council of Scientific and Industrial Research (CSIR). |
[142,143] | Converter link for EVs | A comprehensive comparative analysis was presented, contrasting the performance of two-level and three-level inverters in the context of electric vehicle traction applications. Additionally, an innovative switching sequence was introduced, tailored for space-vector pulse width modulation (SV-PWM)-based three-level neutral point clamped inverters employed in electric vehicle converters. | Experimental tests, when compared with results obtained from a proportional–integral (PI) controller, demonstrate noteworthy enhancements in the performance of the permanent magnet synchronous motor (PMSM). These improvements encompass reduced variation in the DC-link capacitor voltage and expanded operational capabilities across a wide range of speeds and torques. Moreover, there was a notable decrease in the total harmonic distortion, indicating enhanced electrical efficiency. |
[144] | Battery discharge rates | This article introduces diverse battery assessments across varying discharge voltages and capacity scenarios. Various machine learning techniques including neural networks, modified support vector machine (M-SVM), and linear regression are employed to forecast the state of health. | The results show that their proposed Modified Support Vector Machine (M-SVM) exhibits strong performance with reduced errors across the entirety of the four-battery discharge datasets. |
[145] | Novel electronic differential control for EVs | Convectional wheel drive using an induction motor was flawed in that it requires a proportional, integral, and differential control that requires constant tunning at every operating point. A novel electronic differential control was then proposed in this research. | The wavelet control technique proposed in this study offers enhanced stability and facilitates seamless control of the two rear driving wheels in electric vehicles (EVs). |
[146] | Prediction of EVs | This article centres around the representation of an electric vehicle (EV) using modelling techniques and the creation of an algorithm. The algorithm’s purpose is to recommend the best driving speeds based on the battery’s power capacity, aiming to achieve the quickest possible arrival at the destination and alleviate the driver’s concerns about the EV’s driving range. Python serves as the platform for both the modelling process and algorithm development. Elements like road incline, distance, and velocity will be utilized as input parameters for the simulated EV. | The study indicates that road angle significantly influences the energy demands of electric vehicles (EVs). For instance, at a 5% incline, a speed of 80 km/h necessitates 25 kW, whereas a 15% incline requires 58 kW. Additionally, higher speeds amplify power requirements; for example, at a 10% incline, 20 km/h demands 10 kW, while 80 km/h demands 40 kW. Moreover, EV power requirements exhibit a linear correlation with tyre pressure and air temperature and increase proportionally with the square of the vehicle’s speed. |
[14] | Feasibility study for the incorporation of E-taxi | This research paper examined the environmental impact of introducing 100 electric vehicle taxis in Johannesburg (JNB), South Africa. The study initially delved into the present electricity generation scenario and vehicle standards in South Africa, along with its associated carbon emissions. Subsequently, it was demonstrated that the current electricity generation mix does not support sustainable electric vehicle adoption. | The results in this paper suggested the integration of renewable energy systems at charging stations, comprising a renewable energy fraction (REF) of 40% and 58%. This integration is aimed at aligning the carbon emissions from electric vehicles with the emission standards of Euro III and Euro V for petrol ICE vehicles. The appropriate size of the renewable energy systems was determined through Electric System Cascade Analysis. |
[147] | Influence of fuel cell on hybrid EVs utilizing fuel cell battery | Comparative driving tests were executed in two modes of propulsion: solely battery-powered and a hybrid mode combining both battery and fuel cell technologies. | The integration of the fuel cell yielded a remarkable improvement in driving range, showcasing an augmentation ranging from 63% to 110%. This enhancement was contingent on the stored H2 fuel quantity, which fluctuated between 55% and 100% of the maximum capacity. Operating in the hybrid mode not only yielded more consistent driving performance but also yielded greater overall energy utilization by the vehicle. |
[148] | Solar electric vehicle energy optimization | This study integrates optimization algorithms and anticipated values of predicted weather variables to develop an optimal speed pattern for a solar-powered electric vehicle, aimed at minimizing energy consumption and maximizing distance. These algorithms and probability mass functions are implemented and assessed over a considerable distance of 2396 km, encompassing varied weather conditions and challenging terrains. | The study underscores the necessity of forecasting energy requirements for solar electric vehicles traversing routes in South Africa and emphasizes the significance of optimizing speed. The Sun Chaser III solar vehicle’s outstanding performance, securing first place among local teams and fourth place internationally in the Sasol Solar Challenge 2018, can be attributed to the precision and resilience of this research’s physical implementation. |
5.2. Government Interventions Relating to EV Skills Gaps and Transfer and Policy Recommendation
- Commitment to reducing CO2 emissions across the automotive value chain.
- Protection, strengthening, and retention of the manufacturing base in South Africa, considering the potential risk of losing over 50% of production volume between July 2025 and 2035 due to Euro7 emission regulations in Europe and the phasing out of ICE drivetrains in European countries.
- Introduction of NEV purchasing subsidies to encourage the adoption of HEVs, PHEVs, and BEVs.
- Alignment on NEV import tariffs with the EU and the UK through the Southern Africa Development Community and Southern Africa Customs Union and Mozambique Partnership Agreement, and the establishment of more flexible Rules of Origin for exports to these regions.
- Provision of a 50% CKD (completely knocked down) rebate on the import of specified NEV components for a limited period.
- ZAR 20,000 per HEV until 31 December 2030;
- ZAR 40,000 per PHEV until 31 December 2035;
- ZAR 80,000 per BEV until 31 December 2035.
- How will charging VAT and/or excise duty (as in the case of passenger electric vehicles) be carried out properly?
- How can electric minibus taxis (e-MBTs) through the Taxi Recapitalisation Programme be deployed and promoted?
- Will enhanced access to favourable interest rates for financing electric buses and electric minibus taxis (e-MBTs) be implemented?
- Will there be an improvement in public procurement practises, specifically focusing on metropolitan buses and Bus Rapid Transit systems?
- What type of incentives will the government offer to manufacturers, importers, exporters, owners, drivers, and passengers of EVs?
- How will e-hailing be profitably aided by EVs?
5.3. International Funding Challenges
5.4. Battery Challenge in EVs
6. Analysis Based on Questionnaire’s Data
6.1. Question 6 Significance Test
df | Sig. (2-Tailed) | Mean Difference | 95 % Confidence Interval of the Difference | |||
---|---|---|---|---|---|---|
t | Lower | Upper | ||||
Q6 | 5.567 | 50 | <0.001 | 0.745 | 0.48 | 1.01 |
Q7 | 3.763 | 50 | <0.001 | 0.451 | 0.21 | 0.69 |
6.2. Question 7 Significance Test
6.3. Clustered Analysis of Questions 6 and 7
- Q6: The local production of EV components will promote economic growth and sustainability.
- Q7: The government should invest more in skill development for the EV manufacturing sector.
7. Future Trends and Research Gaps
- The inclusive rollout of EVs;
- The allocation of budget to address imbalances in EV ownership;
- Support to new consumption models that do not rely on EV ownership;
- A reconsideration of government financing models;
- A balanced and just energy transition.
8. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Questionnaires | Range of Responses and Code Used on SPSS | ||
---|---|---|---|
Q2 | Highest qualification obtained | Primary school education (0) Secondary school education (1) Higher Certificate (2) Diploma (3) Advanced Diploma (4) | Bachelor (5) Honours (6) Masters (7) PhD (8) |
Q3 | What is your net monthly income? | ZAR 100 to R4999 (0) ZAR 5000 to R9999 (1) ZAR 10,000 to R19,999 (2) ZAR 20,000 to R39,999 (3) | ZAR 40,000 to R 59,999 (4) ZAR 60,000 to R 99,999 (5) ZAR 100,000 and above (6) |
Q4 | How familiar are you with electric vehicles (EVs)? | Very familiar (0) Slightly familiar (1) Familiar (2) Not familiar (3) | |
Q5 | Would you like to own an electric vehicle? | Yes (0) No (1) Maybe (2) | |
Q6 | The local production of EV components will promote economic growth and sustainability | Strongly agree (0) Agree (1) Neutral (2) Disagree (3) Strongly disagree (4) | |
Q7 | The government should invest more in skill development for the EV manufacturing sector |
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Model | Power | Top Speed | Range | Price |
---|---|---|---|---|
Mini Cooper SE Hatch 3-door | 135 kW | 150 km/h | Up to 215 km (claimed) | R0.723 m |
Mini Cooper SE Hatch 3-door Resolution | 135 kW | 150 km/h | Up to 215 km (claimed) | R0.7263 m |
Volvo XC40 P6 Recharge Plus | 170 kW | 160 km/h | Up to 423 km (claimed) | R1.075 m |
Mercedes-Benz EQA 250 Progressive | 140 kW | 160 km/h | Up to 486 km (claimed) | R1.169 m |
Mercedes-Benz EQA 250 AMG Line | 140 kW | 160 km/h | Up to 486 km (claimed) | R1.222 m |
Volvo XC40 P8 Recharge Twin AWD | 300 kW | 180 km/h | Up to 400 km (claimed) | R1.26 m |
BMW iX3 M Sport | 210 kW | 180 km/h | Up to 460 km (claimed) | R1.29 m |
Mercedes-Benz EQB 350 4Matic Progressive | 215 kW | 160 km/h | Up to 485 km (claimed) | R1.374 m |
Mercedes-Benz EQB 350 4Matic AMG Line | 215 kW | 160 km/h | Up to 485 km (claimed) | R1.427 m |
Mercedes-Benz EQB 350 4Matic Edition 1 | 215 kW | 160 km/h | Up to 485 km (claimed) | R1.518 m |
BMW i4 M50 | 400 kW | 225 km/h | Up to 620 km (claimed) | R1.6 m |
ICEV Model | Power | Top Speed | Cost in Rand |
---|---|---|---|
Mini Cooper 3 door | 100 kW | 210 km/h | ZAR 537,500 |
Mini Cooper S | 141 kW | 235 km/h | ZAR 606,200 |
Volvo XC40 B4 Dark | 145 kW | 180 km/h | ZAR 849,000 |
Mercedes-Benz CLA220d Progressive | 140 kW | 244 km/h | ZAR 947,630 |
Volvo XC60 B6 Plus Dark | 220 kW | 230 km/h | ZAR 1,213,000 |
Volvo XC40 Recharge Twin—23.3 kWh/100 km | Price per kWh | Total kWh | Total Cost |
---|---|---|---|
2.3 kW Home charging (AC) | ZAR 3.32 | 313.5 kWh | ZAR 1040.82 |
4.4 kW Public charging (AC) | ZAR 5.85 | 9.19 kWh | ZAR 53.76 |
100 kW Public charging (DC) | ZAR 7.35 | 47.15 kWh | ZAR 346.55 |
Charging Cost | ZAR 3.90 | 369.84 kWh | ZAR 1441.13 |
Average Cost per km | ZAR 0.91 | ||
Volvo XC40 Petrol Hybrid—7.3 L/100 km | Price per L | Total L | Total Cost |
95 Unleaded—August 2023 price | ZAR 22.83 | 54 | ZAR 1232.82 |
95 Unleaded—September 2023 price | ZAR 24.54 | 61.87 | ZAR 1518.36 |
Refuelling Cost | ZAR 23.74 | 115.87 | ZAR 2751.18 |
Average Cost per km | R 1.73 | ||
Kia Sonet 1.5 LX Petrol—6.25 L/100 km | Price per L | Total L | Total Cost |
95 Unleaded inland—August 2023 price | ZAR 22.83 | 45 | ZAR 1027.35 |
95 Unleaded inland—September 2023 price | ZAR 24.54 | 54.21 | ZAR 1330.22 |
Refuelling Cost | ZAR 23.76 | 99.21 | ZAR 2357.57 |
Average Cost per km | ZAR 1.49 |
Average Distance per Day (Over 28 Days) | 56.69 km |
---|---|
Average energy consumption | 23.3 kWh/100 km |
Total energy consumption | 369.84 kWh |
First 100 kWh of the month | ZAR 2.78 per kWh |
Next 300 kWh of the month | ZAR 3.25 per kWh |
Next 250 kWh of the month | ZAR 3.54 per kWh |
Above 650 kWh of the month | ZAR 3.82 per kWh |
N | Minimum | Maximum | Mean | Std. Deviation | Skewness | Kurtosis | |||
---|---|---|---|---|---|---|---|---|---|
Statistic | Statistic | Std. Error | Statistic | Std. Error | |||||
Highest Qualification | 51 | 1 | 8 | 6.27 | 2.127 | −1.362 | 0.333 | 0.835 | 0.656 |
Net Income | 51 | 0 | 6 | 2.22 | 1.566 | 0.147 | 0.333 | −0.687 | 0.656 |
Familiarity with EVs | 51 | 0 | 3 | 1.22 | 1.101 | 0.207 | 0.333 | −1.371 | 0.656 |
Do you wish to own an EV? | 51 | 0 | 2 | 0.39 | 0.777 | 1.575 | 0.333 | 0.615 | 0.656 |
Do you know the cost of electric vehicles? | 51 | 0 | 2 | 1.14 | 0.722 | −0.213 | 0.333 | −1.014 | 0.656 |
Q6 | 51 | 0 | 4 | 0.75 | 0.956 | 1.258 | 0.333 | 1.370 | 0.656 |
Q7 | 51 | 0 | 3 | 0.45 | 0.856 | 1.752 | 0.333 | 1.896 | 0.656 |
Valid N (listwise) | 51 |
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Oni, O.E.; Longe, O.M. A Study on Electric Vehicle Footprint in South Africa. Energies 2024, 17, 6086. https://doi.org/10.3390/en17236086
Oni OE, Longe OM. A Study on Electric Vehicle Footprint in South Africa. Energies. 2024; 17(23):6086. https://doi.org/10.3390/en17236086
Chicago/Turabian StyleOni, Oluwafemi Emmanuel, and Omowunmi Mary Longe. 2024. "A Study on Electric Vehicle Footprint in South Africa" Energies 17, no. 23: 6086. https://doi.org/10.3390/en17236086
APA StyleOni, O. E., & Longe, O. M. (2024). A Study on Electric Vehicle Footprint in South Africa. Energies, 17(23), 6086. https://doi.org/10.3390/en17236086