Parameters and rated values of the electric propulsion system.
This chapter addresses potentialities and advantages of a highly integrated hybrid energy storage system (HESS) for electric propulsion and smart grids. This configuration consists of a highly integrated battery-ultracapacitor system (HIBUC) and aims to benefit from the advantages of both passive and active HESS configurations. Particularly, the integration of the ultracapacitor module (UM) within the DC-link of the DC/AC multilevel converter enables the decoupling between DC-link voltage and energy content without the need for any additional DC/DC converter. As a result, HIBUC benefits from simplicity and energy flow management capabilities very similar to those achieved by passive and active HESS configurations, respectively. This is highlighted properly by a theoretical analysis, which also accounts for a comparison between HIBUC and both passive and active HESS configurations. Some HIBUC application examples are also reported, which highlight the flexibility and potentialities of HIBUC for both electric propulsion systems and smart grids.
- energy management
- energy storage
- electric vehicles
- smart grids
Electric energy storage systems (ESSs) are widely recognized as one of the most promising technology for enabling the transition toward a sustainable energy system [1, 2, 3]. Particularly, transportation electrification is pushing toward progressive improvements of ESS technologies, especially for light- and heavy-road electric vehicles: these have to rely on on-board ESSs for guaranteeing long mileage and short charging time. Consequently, high efficiency, low costs, small volumes, and weights are desirable. The employment of ESSs is increasingly considered also for such systems that have been propelled electrically since a long time, such as railway and ships, in order to increase system efficiency and fuel economy, as well as ensuring reliable operation of on-board power systems [4, 5, 6]. In this context, both hybrid and all-electric ships are expected to be appealing in the forthcoming future. Similarly, ESSs are a key point for designing more electric aircrafts, in which pneumatic and hydraulic actuators are being replaced with electrical ones . Therefore, on-board ESSs should start the engines, maintain DC-link voltage constant over dynamic operations, and, above all, guarantee emergency power supply. ESSs can be employed successfully also for addressing several issues affecting modern power systems, such as reduced level of power quality, massive growth of distributed generation, and high penetration of renewable energy sources [8, 9, 10]. Particularly, integrating the massive and increasing share of photovoltaic and wind power plants installed all over the world is one of the main challenges for future power systems, which will be faced resorting to smart grid and microgrid concepts. In this context, ESSs are the ideal solution for mitigating power fluctuations, storing overproduction, and releasing it when required, improving overall reliability and power quality.
An ESS consists of two main stages, i.e., the power conversion system and the energy storage unit, as shown in Figure 1. The power conversion system is generally represented by a power electronic converter, which has to regulate ESS voltage and current levels in order to match application requirements. Whereas, the energy conversion occurs within the energy storage unit, which exchange electrical energy only, storing it into different forms (mechanical, chemical, magnetic, etc.).
There are several ESSs available on the market, which are generally classified in accordance with their energy/power density (Wh/l, W/l) or specific energy/power (Wh/Kg, W/Kg), as highlighted in Figure 2 [11, 12]. High-energy density ESSs are able to provide large amount of energy but over long time periods, as occurring for the majority of electrochemical batteries. These are the first ESS introduced on the market and still represent the most widespread. Electrochemical batteries can be further classified based on the chemical reaction they exploit. Lead acid (PbA) is probably the most-known technology; it is being widely used on vehicles for starting, lighting, and ignition purposes. PbA batteries are currently employed when sizes and weights are not an issue, such as isolated power systems and UPSs, whereas, lithium-ion batteries (Li-ion) are surely the best solution for modern electric vehicles due to their very high-energy density and specific energy. However, sodium-based batteries may be preferred when high capacity is required, namely for load leveling and renewable energy sources integration. Despite their advantages, electrochemical batteries generally suffer from low power capabilities; thus, even if research is focused on improving power density, they are not yet the best solution for high-power applications [13, 14].
Differently from electrochemical batteries, high-power density ESSs can provide much little amount of energy but in very short times, which is the case of flywheel energy storage system (FESS), superconducting magnetic energy storage system (SMES), and ultracapacitors (UCs). Particularly, FESS is characterized by very high efficiency, long life expectancy, and low environmental impact. However, it presents a quite high self-discharge rate and also suffers from safety issues as far as high speeds are concerned [15, 16, 17]. Regarding SMES, a cryogenic system ensures the superconducting state of coils. Consequently, losses are due to power converters only, leading to a very high overall efficiency. Other advantages consist of fast response and wide power range, as well as long lifespan. Nevertheless, SMES is very expensive due to the high costs of both superconductors and cryogenic system; thus, although it has been recently tested for power quality and voltage stabilization in both transmission and distribution systems, it is still employed in military applications mostly [18, 19, 20]. The main advantages of UCs are high-power capability, quite long life cycle and no memory effect, but they cannot store great amount of energy unless big and costly UC modules are used. Thus, UCs have been used for power quality applications and for handling small regenerative braking on electric propulsion systems [21, 22, 23].
Based on the previous considerations, it can be stated that a single ESS technology hardly matches both energy and power application requirements. Particularly, electrochemical batteries are very suitable for providing energy services, in which high-energy storage capability is mandatory. On the other hand, FESS, SMES, and UCs are more appropriate for power services, when high-power rates are required for very short times. In addition, further constraints may regard efficiency, life cycle, and cost, which might make one ESS technology unsuitable. In this regard, a viable and promising solution is the employment of a hybrid energy storage system (HESS), which consists of combining high-energy and high-power density ESSs in order to benefit from the advantages of different ESS technologies [24, 25, 26, 27]. As a result, HESS may bring increased performances, higher efficiency, longer lifetime, reduced costs, and more appropriate design and sizing. Among all the ESS combinations, HESSs made up of electrochemical batteries and UCs are the most popular and promising solutions because of the perfect complementarity between their features [28, 29, 30].
Consequently, this chapter focuses on HESS made up of a battery pack (BP) and an ultracapacitor module (UM). Particularly, a brief overview of main HESS configurations and management approaches is provided in Section 2. Then, Section 3 focuses on a highly integrated HESS configuration [31, 32, 33], in which BP and UM are coupled only by means of a multilevel converter. This highly integrated battery-ultracapacitor system (HIBUC) is also compared to those described in Section 2, highlighting its most important advantages. In Section 3, two HIBUC application examples are also presented and discussed based on numerical simulations. Concluding remarks are reported in Section 4.
2. Overview on hybrid energy storage systems
Considering a hybrid energy storage system (HESS) made up of a battery pack (BP) and an ultracapacitor module (UM), a number of configurations have been proposed in the literature, which differ from each other mainly due to the number of power electronic converters involved. Particularly, no or few power electronic converters entail simple configurations, but poor flexibility and energy management. As the number of power electronic converters increases, energy management capability, and, thus, HESS exploitation increase, but at the cost of increased complexity, costs, volumes, and weights. The following sections investigate the most important HESS configurations, as well as their management and control strategies, by highlighting their most important advantages and drawbacks.
2.1. HESS configurations
HESS configurations can be roughly classified into passive and active configurations; in passive HESS, BP and UM are directly coupled to the DC-link of the DC/AC converter, as depicted in Figure 3 [34, 35]. Therefore, BP and UM share the same voltage, which generally varies with BP state-of-charge. As a result, UM voltage cannot vary independently, resulting in its poor energy exploitation. Still referring to Figure 3, the following relationships can be introduced:
Particularly, a simple but effective BP model has been considered, which consists of a voltage source
The comparison between Eq. (2) and Eq. (4) reveals a significant coupling between
Much better performances can be achieved by semi-active and active HESS configurations, which exploit one or more DC/DC converters for decoupling BP and UM [36, 37, 38, 39, 40, 41, 42, 43]. Particularly, Figure 4 shows an active parallel configuration, in which BP and UM are parallel-connected to the DC-link both through DC/DC converters. Referring to this configuration, the following relationships can be introduced:
Particularly, Eqs. (6) and (7) have been achieved by assuming ideal DC/DC converters, which have been modeled by simple gains (
Regarding the DC-link energy content, it should account not only for
Therefore, considering both Eqs. (9) and (11), it can be seen that
2.2. HESS management and control
As far as semi-active or active HESS configurations are concerned, the management and control system cover a fundamental role for exploiting the HESS at the maximum extent. Particularly, an appropriate selection of HESS management strategy is of paramount importance, even from the design stage, especially for sizing BP and UM properly in accordance with target performances, and technical and economic constraints. It is fundamental also for assuring HESS efficiency, reliability, and durability.
Referring to Figure 5, HESS management consists mainly of a sharing criterion for splitting the overall HESS energy flow between BP and UM. Literature review reveals that several approaches have been proposed in order to exploit BP and UM inherent features to the maximum extent, preventing them from unsuitable operation as well. In this regard, UM generally handles fast power fluctuations, whereas BP copes with the average power demand. This principle is the basis of the simplest HESS management strategy known as frequency-based management (FBM); this consists of splitting the overall power demand into high- and low-frequency components, which have to be tracked by UM and BP, respectively [44, 45]. An alternative approach is the so-called rule-based management (RBM), which exploits the single ESSs in accordance with an appropriate order of priority by means of a pre-set of rules [46, 47]. In this regard, it is worth noting that FBM and RBM may be combined to each other or with fuzzy logic algorithms in order to account for ESS constraints and to improve overall HESS performances [48, 49, 50, 51].
Although FBM and RBM are intuitive, simple, and easy to implement, they generally do not lead to optimal solutions. For this reason, another popular approach is determining BP and UM reference power profiles by minimizing suitable cost functions over a given time horizon. Hence, different optimal solving techniques can be used, such as model predictive control, mixed-integer/linear programming, nonlinear programming, and dynamic programming [52, 53, 54, 55]. However, such solving techniques are generally complex to implement and quite time-demanding. Consequently, heuristic approaches have been also proposed, like genetic algorithms and particle swarm optimization, which achieve sub-optimal solutions but faster and with less computational efforts [56, 57, 58]. As a result, very complex and sophisticated cost functions can be considered, which can account for many system constraints and goals. The main advantage of these approaches consists of enabling HESS to provide multiple services in an optimal manner, by both economic and technical points of view; this aspect makes HESS very competitive, especially for smart grid applications.
3. A novel highly integrated HESS
In order to overcome the issues arising from both passive and active HESS configurations, a highly integrated solution has been proposed by the authors in [31, 32, 33], whose schematic representation is depicted in Figure 6. It consists of coupling a BP with an UM through a multilevel converter, namely a three-level neutral-point-clamped converter (NPC). The key feature of the proposed highly integrated battery-ultracapacitor system (HIBUC) is the full integration of UM within the DC-link of the NPC, which decouples the overall DC-link voltage (
3.1. HIBUC modeling
Still referring to Figure 6, the DC-link of HIBUC is split into high-side and low-side due to the three-level configuration: high-side consists of the UM, whose overall voltage and capacitance are denoted by
Whereas, the overall DC-link energy content can be determined easily as
Hence, Eq. (16) reveals that
Hence, if Eq. (18) is satisfied,
3.1.1. Comparison with passive and active HESS configurations
In order to highlight the advantages of HIBUC compared to passive and active HESS configurations, reference can be made to the per unit DC-link energy content (
where the superscripts (
Hence, considering the
Considering now active HESS configuration, minimum and maximum
Therefore, the maximum exploitation of the DC-link energy content can be achieved by varying
Hence, differently from passive HESS configuration, active configuration enables the DC-link energy content to vary with
Focusing now on the HIBUC configuration, the minimum
Whereas, given that
Consequently, maximum exploitation of the DC-link energy content is achieved if
The evolutions of both
3.2. HIBUC management and control
The overall HIBUC management and control scheme is depicted in Figure 9. The comparison with Figure 5 reveals some differences, especially due to the high degree of integration among all HIBUC components. Particularly, the NPC has to account for HIBUC needs in terms of energy flow management, thus it cannot be driven only in accordance with application requirements. Regarding the HIBUC management block, it has to synthesize the most suitable BP current profile (
In conclusion, the structure of both HIBUC management and control blocks generally depends on the specific application, as well as on the kind of power and energy services HIBUC has to provide. For this reason, two application examples are reported in the following, for each of which a much in-depth analysis of these blocks is presented, as well as some simulation results.
3.2.1. Electric propulsion system
The HIBUC management and control blocks for the highly integrated electric propulsion system proposed in [31, 32, 33] are depicted in Figure 10. Focusing on the HIBUC energy management at first, the idea is to exploit the UM over acceleration and regenerative braking mainly. Consequently, the reference
in which, the magnetic energy variation related to the inductive filter can be neglected safely due to the relative low inductance value. As a result, the reference
Regarding the HIBUC control block, it consists of two nested control loops: the external loop regulates
In order to highlight the effectiveness of the proposed configuration, a simulation study has been performed in MATLAB-Simulink, whose main parameters are reported in Table 1. While simulations results are depicted in Figures 11–15. Particularly, each variable is shown in per unit with reference to the corresponding base value shown in Table 1. Focusing on Figure 11 at first, different speed profiles have been considered for simulating a start and stop of the vehicle, which are characterized by decreasing ramp times (5 s for case 1, 4 s for case 2, and 3 s for case 3). While the corresponding motor torque evolutions are depicted in Figure 12. The latter reveals higher torque demands as soon as faster speed variations are required, namely from case 1 to case 3, as expected. Considering the current evolutions shown in Figure 13, it can be seen that high power demands occur during both vehicle acceleration and braking, especially in comparison with steady state vehicle power requirements. However, BP is prevented from coping with such high and fast power variations, as proved by the low battery current profiles achieved in all cases and still shown in Figure 13. This is due to UM, which is discharged and charged appropriately in accordance with the (ωm,
|EPS parameters and rated values|
3.2.2. Smart grid
The HIBUC management and control blocks for a smart grid are depicted in Figure 16. Particularly, it differs from Figure 10 only in terms of HIBUC management because the tracking of both
A simulation study has been carried out in MATLAB-Simulink with reference to the main parameters shown in Table 2. Particularly, HIBUC has been sized differently from the previous application (electric propulsion system), especially in terms of voltage and capacitance ratings, in order to better match the new application requirements. Simulation results are depicted in Figures 17–21; all the results are expressed in per unit with reference to the corresponding base values shown in Table 2. Simulations refer to several active and/or reactive smart grid power variations, as highlighted in Figure 17. In addition, after 3 s, a noise signal has been added to the reference active power in order to test HIBUC performances in preventing BP from coping with such high-frequency power fluctuations. Still focusing on Figure 17, it can be seen that a very fast and suitable reference power tracking is achieved. This is mainly due to the fast UM dynamic response, while a much slower BP power response is achieved due to the employment of a low-pass filter, as highlighted in Figure 18. Particularly, the low-pass filter prevents BP from quickly reacting to reference active power variations, as well as from coping with the noise signal added to the reference active power; this is handled by UM on its own mostly, as still highlighted in Figure 18.
|MG parameters and rated values|
Focusing now on the BP reference power profile, it is made up of two contributions, as pointed out in Figure 19: one comes from the low-pass filter (
This chapter has addressed the potentialities and advantages of a highly integrated battery-ultracapacitor system (HIBUC). Particularly, HIBUC benefits from the advantages of both passive and active hybrid energy storage system (HESS) configurations, namely a relative simple structure and an effective energy flow management of both the battery pack (BP) and the ultracapacitor module (UM). This has been proved by the analytical comparison among all the above-mentioned configurations, which reveals HIBUC as a very suitable and competitive solution, especially when high UM capacitance is concerned. In addition, HIBUC is also very flexible, as proved by the two application examples, namely an electric propulsion system and a smart grid. For each of these, HIBUC management and control approaches have been presented and discussed, providing some simulation results as well. These highlight the high level of integration achieved in each application, especially in the design of the HIBUC management stage, which should be done in accordance with the specific application requirements.
This work has been developed within the project “Design and Implementation of a Novel Hybrid Energy Storage System for Microgrids,” which is funded by the Sardinian Regional Government (Regional Law no. 7, August 7, 2007) under the Grant Agreement n°68 (Annuity 2015).