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Electric vehicles (EVs) firstly introduced in late 1800’s. But the benefits offered by internal combustion engines over electric propulsion made the previous a popular choice. Increasing price of fossil fuels coupled with environmental concerns has increased the interest in the research and growth of electric vehicle propulsion technologies.
India today is one of the top ten automotive markets in the world and given its burgeoning middle-class population with buying potential and the steady economic growth, acerating automotive sales is expected to continue. In the last couple of years, there has been a lot discussion around the prices of fuel-apart from the deregulation of petrol prices. Moreover, the treat of disruption of supplies from the Middle-East has heightened the debate on energy security and brought the focus on alternate drive train technologies.
The EVs offer several advantages compared to IC engine vehicle Such as Zero exhaust emission, reduced noise pollution & independence on fossil fuels which will help to reduce green gas effect and help to maintain environment temperature that’s why Electric vehicle (EVs) promising technology for achieving sustainable transport sector in future.
This paper is intended to overview of Electrical Vehicle (EVs) technology different types of electric-drive vehicles, energy storage system, charging mechanisms and also shown how the Electric Vehicle is sustainable transport technology in future.
An electric vehicle (EV) is that uses one or more electric motors for propulsion and operates on an electric motor, instead of an internal-combustion engine which is operates on fossil fuel (Petrol/Diesel/CNG). The electric Vehicle (EVs) used battery as an energy source and can charged by grid or internal combustion engine with help of AC-DC power converter and used this energy to running of Motors to propulsion of vehicle.
Therefore, such as vehicle is seen as a possible replacement for current-generation automobile, in order to address the issue of rising pollution, global warming, depleting, greenhouse effect, reduction in source of fossil fuels etc. Though the concept of electric vehicles has been around for a long time, it has drawn a considerable amount of interest in the past decade amid a rising carbon footprint and other environmental impacts of fuel-based vehicles.Though the concept of electric vehicles has been around for a long time (1900s), it has drawn a considerable amount of interest in the past decade amid a rising carbon footprint and other environmental impacts of fuel-based vehicles.
The global market for electric vehicles (EVs) is growing continuously at a compounded annualized growth rate (CAGR) of 21.7 per cent. It is expected to grow from 8.1 million units to 39.21 million units by 2030. This exponential growth is being driven by various factors, including concerns for air & noise pollution. Governments all over the world are encouraging the EV industry through subsidies and regulations, and the consumers are demanding low-emission commuting instead of the fossil fuel-driven vehicles, which are endangering our planet. When the first EVs were manufactured/introduced, very high initial cost, low battery range, low speed, and much lower environmental concerns resulted in the industry not taking off. The last 10 years though have seen universal interest among original equipment manufacturers (OEMs), customers, and governments, resulting in huge investments being made in EV manufacturing and battery technology, resulting in millions of vehicles getting sold in various countries.
There are many reasons why people are moving to Electric Vehicles (EV) to get them to the places they need to be. These include:
There are mainly 4 types of electric vehicle: Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plugin Hybrid Electric Vehicle (PHEV) and Fuel Cell Electric Vehicle (FCEV) and each are described in more detail below.
The Vehicle configuration of a typical battery vehicle is elaborated here. So, we can see that the Battery bank in BEV is normally charged direct from grid using battery charger and the electrical energy stored in Battery is transferred to the wheels using an electric drive consisting of power converter and electrical machine via transmission gear and differential. This power converter has to be designed to carry bidirectional power flow since it can also be used to regenerative the power coming from wheels during the braking. You can also see that the clutch is normally not required in a battery electric vehicle as in conventional IC engine-based vehicle.
The Battery Electric Vehicle (BEV) uses high-capacity batteries and electric motor for propulsion. It derives all the power from its batteries pack and has no internal combustion engine, neither fuel cell, nor fuel tank. The only watt to recharge its batteries is by plugging in the vehicle to a charging point.
HEVs are also known as series hybrid or parallel hybrid. HEVs have both engine and electric motor. The engine gets energy from fuel, and the motor gets electricity from batteries. The transmission is rotated simultaneously by both engine and electric motor. This then drives the wheels.
The second type is the Hybrid Electric Vehicle (HEV) that uses mechanically a combination of Electric Motor (EM) in low speeds dedicated for in-city traffic and a conventional Internal Combustion Engine (ICE) to be used outside urban areas (Fig2.b). When ICE mode is activated, the EM stops and batteries start charging using an alternator driven by the same equipped ICE. The HEV get an upgrade to the Plug-in Hybrid Electric Vehicle (PHEV), it includes actually a new battery charging system that can be fed externally. The combustion engine works as a backup when the batteries are depleted and the driver cannot have a break for charging. Porsche announced the new Panamera Plug-in S E-Hybrid that replaces the old Panamera Hybrid offering more during responsiveness and vehicle performance.
This is configuration of a typical fuel cell electric vehicle. So, it uses fuel cell as a source of energy which is connected to Hydrogen tank, fuel cells used in FCEVs use hydrogen fuel stored onboard and oxygen from the air to produce electricity. A boost converter is required to step up the voltage of the fuel cell to charge the battery and store the energy. An Electric drive and the mechanical propulsion system is similar to battery electric vehicle. Battery bank enables two purposes. First, it allows fuel cell to operate at optimum efficiency. Secondly, it can support the transient mechanical energy requirements at the wheel. It can also help to store regenerative energy coming during braking since fuel cell is incapable of the storing regenerative energy.
As long as a fuel is supplied FCs continue to generate electricity, similar to conventional ICEs. However, fuel cells are much cleaner; they convert fuels directly into electricity via an electro-chemical process that does not need combustion. The generated power from a fuel cell stack depends on the number and size of the individual fuel cells. A fuel cell vehicle that is fueled with hydrogen emits only water and heat. By providing clean, high-efficiency, reliable green transportation facilities, FCs have become important technology in development of electric vehicles. In addition, fuel cells are being developed for buses, boats, motorcycles, and many other kinds of vehicles.
Control strategies for hybrid-electric vehicles generally target several simultaneous objectives. The primary one is the minimization of the vehicle fuel consumption, while also attempting to minimize emissions and to maintain or enhance drivability. To date, the power management (PM) system in EVs is basically formed by two layers; High level software-based supervision and low-level hardware-based control which can be divided into two control layers low level component and low-level control. Both hardware and software control layers work together to optimize PM system in EVs. Major challenge of energy management system (EMS) in an electric vehicle is to assure optimal use and regeneration of the total energy in the vehicle. Regardless of number of sources, the powertrain configuration, at any time and for any vehicle speed, the control strategy has to determine the power distribution between different energies. When two storage systems or two fuel converters are available additional power distribution between the RESSs and between the fuel converters has to be determined. These decisions are constrained by two factors. First of all, the motive power requested by the driver must always be satisfied up to a maximum power demand already known. Then, charge status must be maintained within, allowing the vehicle to be charge continuously.
Power management control design starts with the hardware level, more precisely with vehicle power train which is a must in every EVs. Presented in different approaches and combinations, the only purpose in power train design is to obtain optimal power management results, increase vehicle performance and robustness, and reduce energy loss in transmission. Generally, there are 6 transfer architectures in BEV;
5.1.1 Conventional Drivetrain
conventional drivetrain with clutch. The vehicle is equipped and Energy Storage System (ESS) that delivers electrical energy to the main EM through a power converter. The mechanical energy provided reaches the front wheels through a quite long way; a clutch, a gearbox and a differential.
5.1.2 Single-gear transmission architecture
The clutch is deleted and the gearbox is replaced with a fixed gear transmission unit while the entire architecture remains the same. This little enhancement simplifies the driveline configuration and reduces the size and weight of transmission system. By following the same logic.
5.1.3 Integrated single-gear and differential architecture
It groups the electric motor, the single-gear box and the differential in same level with wheels. The BEV is lighter and mechanical transmission losses become minimal.
5.1.4 Separated EM and fixed gearing architecture
The need to enhance the cornering performance in BEVs, each wheel gets its own fixed gearing and own electric motor. Thus, it is possible to operating different speeds.
5.1.5 Fixed EM and gearing architecture
The wheels were exploited. In-wheel application reduces even more weight and complexity. Here, vehicle operates in direct drive without a drive shaft; wheels are equipped with the fixed gearbox and driven directly by Ems.
5.1.6 In-wheel drive architecture
The same architecture is kept in final configuration but with more use of in-wheel application. The EM is built right in the wheel and the drive train is reduced to zero. Each EM receives power from a dedicated power converter feed by the Energy Storage System.
The Full Hybrid HEVs have mainly 4 architectures (types) are available and aiming different vehicle purposes;
5.1.7 Series drive Train Configuration (Convectional Series HEV)
This is configuration of typical series hybrid vehicle where an IC engine is connected to a typical electric drive using a electric generator and battery charger, only the Electric Motor is coupled the transmission shaft. This configuration allows high efficiency of IC engine.
5.1.8 Parallel Drive Train configuration (Convectional Parallel HEV)
This is the configuration of a conventional parallel HEV where both the IC Engine and battery based electric drive is coupled to the transmission system using a clutch known as dual clutch transmission (DCT). So the System offers three modes, an IC engine mode alone, an electric engine mode alone or a combined IC engine & Electric motor mode. So the electric motor can not only be used to operate the vehicle, it can also be used to recharge the battery during regenerative braking. This motor can also used as a generator to recharge the battery when power required at the wheel is less than the available power from the IC engine.
5.1.9 Series-Parallel Configuration (Convectional Series-Parallel HEV)
This is the configuration of typical Seirs-Parallel HEV by combines previous both features of a Series & Parallel HEV. Such a configuration is possible only because of a special mechanical gearing system which allows all the modes of Series & Parallel confutation, however it keeps providing electric power through linked generator.
5.1.10 Complex Configuration (Complex HEV)
In this configuration, by replacing the generator in previous configuration and adding a second converter to store electrical energy in car battery, HEV become more controllable and efficient. Both HEV and BEV architectures use DC/AC converters to control electric motors feeding and DC/DC converters to manage two-way energy for battery charging or use.
In high supervisory Power Management Layer (PML), many algorithms have been developed. Depending on powertrain architecture, mainly five techniques proved reliability and delivered intended results Offline Power Management Control (PMC) Algorithms, Online PMC Algorithms, Rule-Based PMC Algorithms and Learning PMS Algorithms and GPS-Enhanced PMC Algorithms.
5.2.1 Offline Power Management Control Algorithms
Optimization Criteria: Stochastic optimal control of complex dynamic systems is a present fact in engineering. The problem is formulated as sequential decision making under uncertainty, where a controller is faced with the task of selecting actions in several time steps to efficiently achieve the system’s long-term goals. DP: Dynamic programming (DP) has been generalized as the main method to analyze sequential decision-making problems, such as deterministic and stochastic optimization and control problems, mini-max problems, and other varied problems. While the nature of these problems may vary widely, their underlying structure is similar to each other and has two principal features: an underlying discrete time dynamic system whose state evolves according to given transition probabilities that depend on the decision taken at each time and a cost function that is additive over time. Although DP can yield a global optimal solution in closed form, for many problems, a complete solution by DP is impossible.
5.2.2 Online Power Management Control Algorithms
MPC: Model predictive control (MPC) relies on prediction models to obtain a control action by solving an online optimization problem over a finite horizon. It is often used in constrained regulatory related control problems of large-scale multivariable systems, where the objective is to operate the system in a certain desired way. Pontryagin’s Minimum Principle and ECMS: One of the principal procedures in solving optimization problems is to derive a set of necessary conditions that must be satisfied by any optimal solution. These conditions become sufficient under certain convexity conditions on the objective and constraint functions. Optimal control problems may be regarded as optimization problems in infinite-dimensional spaces, and thus, they are substantially difficult to solve.
5.2.3 Rule-Based Power Management Control Algorithms
Rules Based (RB) method relays on expert experience base to determine fine adjustments to be applied in PMC algorithm. The PMC strategy can be based on fuzzy logic, decentralized adaptive logic, or even new set of rule-based PMC algorithms.
5.2.4 Smart / Learning Power Management Control Algorithms
To optimize EV efficiency, PMC algorithms include a learning mechanism that allows improving performance over time, every single reaction of the driver is considered including driving style, sprint, breaking style, and distances driven. All these collected information’s build a database specific to the user driving style and there are PM adjustments communicated to driving parameters. This has a major impact on fuel economy and system responsiveness.
5.2.5 GPS enhanced Power Management Control Algorithms
These algorithms are to enhance PMC algorithms using information received from a Global Positioning System (GPS). The algorithm uses data and loads corresponding topography of the road and operates according to preconfigured driving style to minimize fuel consumption. These enhancement algorithms are using driving pattern recognition to automatically select a control algorithm from a bank of six optimized representative driving modes using artificial neural networks (ANNs)
BMS is an electronic system that manages a rechargeable battery to ensure it operates safely and efficiently. BMS is designed to monitor the parameters associated with the battery pack and its induvial cells, apply the collected data to eliminate safety risks and optimize the battery performance
The energy management is a critical factor for EVs. Hence, the battery management system (BMS) is a key system that is designed to manage and control the battery unit in this kind of vehicle. More specifically, BMS is responsible for managing the energy that is provided by the batteries with the aim of guaranteeing their safety and reliability. Current BMSs comprise of multiple blocks, such as power delivery unity, sensors, and communication channels, integrated together. The prime task of BMSs is to manage the power delivery trying to reduce the battery stress due to charges and discharges. BMS is the central controller preventing sudden abruption in current, and thus avoiding high discharge rates. Cell balancing is also critical for EVs’ high-powered battery packs, because a long series of individual cells is only as reliable as the weakest cell. According to this, the BMS maintains cell balancing by compensating the load of the weaker cell. In particular, it equalizes the charge on all cells in the chain to extend the overall life of the battery pack. In this way, BMS prevents individual cells from becoming overstressed. Another important task of BMSs is measuring the state of charge and computing the driving range. Auxiliary devices, such as headlamps, the dashboard, and the cooling/heating unit, also draw power from the battery pack. However, these devices are not smart, nor do they communicate with BMS. A smarter managing of these energy demands would result in a better power delivery without reducing the power train efficiency.
There are four key standards related to safety, installation and connection of the Electric Vehicle Supply Equipment (EVSE) to the EV; UL 2594, UL 2231, SAE J1772, and NEC Article 6252. EVs typically charge from conventional power outlets or dedicated charging stations, a process that typically takes hours, but can be done overnight and often gives a charge that is sufficient for normal everyday usage. To date, mainly three charging techniques are available.
7.1 Conductive charging,
This is a direct electrical connection (typically through an insulated wire/cord set) between the source and the charging circuitry. The circuitry and its controls may be housed within the vehicle or external to it. All new EVs are compatible with this approved standard. There are three modes of EV charging;
7.1.1 Standard Mode (Level 1): - (AC 120V single phase power at up to 12 Amps)
Level 1 electric vehicle charging is rated at 120 volts. The hardware required for this, which is a cord with an attached control-box, is supplied as standard with every electric vehicle. One has to simply plug-in to a three-prin (grounded) wall socket. Using this charging technique usually takes 16 to 20 hours to fully charge the vehicle’s batteries depending upon its capacity. The advantage of using this charging type is that it does not require the installation of additional hardware. One simply needs to the park near a three-pin wall socket and plug-in the charging cable.
7.1.2 Semi-Quick mode (Level 2): -( AC 3 phases 240V, 32A current)
Level 2 charging for electric vehicles is rated at 240 volts. Additional hardware is required for this type of charging. On the purchase of an electric vehicles, some manufacturers will install an AC wall-box charger at the customer’s home and in some cases the place of work as well, either free of cost or otherwise, in order to enable level 2 charging. With the use of this, an electric vehicle can be fully charged in as early as 6 hours or a little over, depending upon the battery capacity. Level 2 charging is considerably faster in comparison to Level 1 charging. Not only this, but it is said to be more energy-efficient as well. However, this charging technique is expensive because of the use of more sophisticated hardware
7.1.3 Quick mode: - (DC 480 Volt, 80-200A current)
The level 3 charging for electric vehicles is what one will find at public charging stations. Called as DC fast charging, it converts the AC current, into DC current for direct storage in electric vehicle batteries. It is usually rated at 480 volts. With the use of a DC fast charger, an electric vehicle can be charged to 80 per cent in less than an hour. The hardware required for the same is quite expensive and is usually found at public charging stations. In order to use them, one needs to pay a certain amount to the service provider.
7.2 Inductive charging:
No wiring is required; instead, the energy is transferred between the charger and the "Paddle" inside the vehicle's inlet via a magnetic field generated by a high AC current. Inductive charging is still expensive and complicated to set up for end user.
7.3 Batteries swapping:
Instead of recharging EVs from electrical socket, batteries could be mechanically replaced in a couple of minutes in some special stations. Here battery size and geometry should be standardized in order to relay on Battery swapping technique.
Electric cars are critically important to the future of the automobile industry and to the environment, as we came to following facts that number of expected vehicles doubling on the road in the near future the need for this alternative energy is very evident and has promising returns.
Consumption of decreasing oil supplies, concerns over air and noise pollution, and pollution caused by abandoned cars and the complications of recycling gasoline-powered cars all are driving forces that seem to be pushing towards the success of the electric cars. It’s hard to imagine a modern car without embedded software. It’s even harder to imagine an electric vehicle without it. From maintaining and monitoring the battery to the user interface software is one of the most vital components of EV. EVs already have software embedded in every part, and this trend will be only greater in future EVs. This prevalence of software and digital all over the electric vehicle opens up a wide variety of opportunities for the IT, software companies and digital solutions providers. The other automotive trends such as connected, shared and autonomous vehicles add even further diversity to these opportunities.
With increasing pressure on improving the quality & safety of Electric Vehicles, the requirement for development of different applications used for safety, quality & stability of electric vehicle not possible for a single company.
Third-party component providers can help in reducing time to market, so various Service Delivery Platform providers should be considered.Next-generation EVSE must adjust to become smarter and more capable in future. It must support smart-grid functionality, which holds great potential to lower the system cost of providing energy to PHEVs and EVs. With smart-grid interactions, not only the distribution grid will be better optimized for lower energy costs but also the users can use the PHEVs and EVs at lower electricity costs, and charge faster with higher efficiency.
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