1. Introduction
In recent years, triboelectric nanogenerators (TENGs) have garnered significant attention as a cutting-edge technology in energy harvesting. TENGs convert low-frequency mechanical energy into electrical energy by harnessing the triboelectrification and electrostatic induction effects [
1,
2,
3]. The term “nanogenerator” [
4] underscores the pivotal role of nanoscale phenomena in their operation, such as enhancing charge transfer via nanoscale surface structures and the use of nanomaterials to improve contact efficiency. TENGs stand out due to their unique advantages, including high energy conversion efficiency at low frequencies, lightweight design, material versatility, and cost-effectiveness [
5,
6]. TENGs are particularly suitable for powering micro- and nanoscale devices, including self-powered sensors, wearable electronics, and distributed systems in the Internet of Things (IoT) [
7,
8]. The growing demand for sustainable, self-sufficient energy solutions in micro/nanoscale applications has driven the rapid advancement of TENG research, positioning it as one of the most promising and rapidly evolving areas in energy harvesting [
9,
10,
11,
12].
According to [
13], TENGs are generally classified into four types: (1) vertical contact–separation mode; (2) lateral sliding mode; (3) single-electrode mode; and (4) freestanding triboelectric-layer mode. Among which, the vertical contact–separation mode (CS-TENG) is widely used as a representative example for analyzing the working mechanism in terms of both energy transfer and charge dynamics. A typical structural configuration is illustrated in
Figure 1. From
Figure 1, the CS-TENG consists of an aluminum plate (as an electrode), a copper plate (as the other electrode), and a fluorinated ethylene propylene (FEP) film adhered to the copper. Assuming the copper plate is fixed and external mechanical motion is coupled to the aluminum plate, enabling periodic contact and separation with the FEP surface,
is the thickness of FEP, and
is the distance of aluminum motion, which is the function of time. In the initial state (
Figure 1a), the aluminum plate is not in contact with the FEP, and no free charge exists within the aluminum plate and the FEP film. Upon contact (
Figure 1b), friction between the aluminum and FEP generates triboelectric charges, whic his positive on the aluminum and negative on the FEP, consuming mechanical energy. As the aluminum plate separates (
Figure 1c), electrostatic potential energy is established due to the Coulomb attraction between the separated charges, representing the conversion of mechanical energy into electrostatic energy. When the TENG is connected to an external circuit (
Figure 1d–f), charge redistribution occurs, and some positive of the charge flows through the circuit to the copper electrode, converting potential energy into available electrical output. As the aluminum plate returns toward the FEP (
Figure 1e), the redistributed charges gradually return to their original configuration, and upon recontact (
Figure 1f), the triboelectric process restarts. Throughout this cycle, the TENG operates by converting mechanical energy into electrostatic potential energy and subsequently into electrical energy, while maintaining overall charge conservation under ideal conditions.
denotes the voltage between the aluminum plate and FEP;
is the voltage between the copper plate and FEP; and
is the terminal voltage of the external two-port circuit network. During the flow of charge from CS-TENG to the external circuit,
, according to Kirchhoff’s voltage law.
It can also be observed that the TENGs are well-suited for harvesting “wasted” or ambient mechanical energy and converting it into electrical energy that can be stored.
Many researchers [
3,
14,
15,
16,
17] have made significant contributions to the study of the working mechanisms of TENGs by establishing electrical models from an electrostatic perspective. These models typically represent the TENG as a series connection of an open-circuit voltage source (
) and a variable capacitor (
), as shown in
Figure 2, with the corresponding mathematical expressions provided in (
1) and (
2) from [
14].
where
is the surface triboelectric charge density of dielectric film [
18];
is the air dielectric constant;
is the FEP dielectric relative constant;
S is the area of contact between the aluminum plate and FEP (in this paper);
represents the separation distance which changes with time;
represents the open-circuit voltage; and
represents the variable capacitor.
Taking the CS-TENG in
Figure 2 as an example, according to the description in paper [
14], the
–
model is also called the V-Q-C relationship (i.e., the voltage–charge–capacitor relationship), which is derived based on a group Equation (
4) that describes the relationship between the generated voltage and capacitance variation.
where
Q is the charges generated from TENG,
E is the electric field strength from Gauss theorem,
is the dielectric constant, and
d is the distance of the charges. Classical electrical theory, such as Thevenin’s theorem, states that any two-terminal linear network can be represented as a voltage source in series with a resistor, which is commonly used to analyze load capacity, efficiency, and power consumption. However, in triboelectric nanogenerators (TENGs), the
–
model introduces additional complexity, as both the open-circuit voltage and internal capacitance vary dynamically with mechanical motion, as described in Equations (
1) and (
2). Despite this, the model provides a solid foundation for understanding the energy characteristics of TENGs. Building upon this framework, numerous studies [
19,
20,
21,
22,
23,
24,
25,
26,
27] have investigated energy transfer and optimization strategies, establishing energy management as a key research focus.
Figure 3 summarizes representative energy management circuits.
Figure 3a presents a basic test configuration using resistive and capacitive loads to evaluate output characteristics, with waveform data available in [
14].
Figure 3b adds a diode rectifier bridge to enable unidirectional current output and continuous energy storage, forming a standard topology in TENG power management unit (PMU) research. Load matching techniques have been applied in this circuit [
21,
22,
23,
28,
29,
30,
31], although dynamic changes in voltage and capacitance complicate analytical modeling, often requiring numerical methods [
14] or simulation-based approaches [
28,
32,
33].
To enhance energy extraction,
Figure 3c,d introduce switch-controlled circuits that more effectively capture peak energy. These include MOSFET-based (
Figure 3c), thyristor-based (
Figure 3c), and air-gap breakdown-based (
Figure 3d) implementations. Recent studies further explore mechanical-state-based triggering strategies, such as displacement peak detection, for timing energy release. As a result, self-powered control has become a growing trend, with methods such as autonomous MOSFET gate control [
21] and current-injection thyristor triggering [
22,
30]. The air-gap discharge switch [
31], which activates via high-voltage breakdown without gate control, offers a simplified alternative to semiconductor-based devices.
Thevenin’s theorem states that any two-terminal linear network can be represented as a voltage source in series with a resistor, which is commonly used to analyze load capacity, efficiency, and power consumption. However, in triboelectric nanogenerators (TENGs), the
–
model introduces additional complexity, as both
and
vary dynamically with mechanical motion, as described in Equations (
1) and (
2). Despite this, the model provides a solid foundation for understanding the energy characteristics of TENGs. Building upon this framework, numerous studies [
19,
20,
21,
22,
23,
24,
25,
26,
27] have investigated energy transfer and optimization strategies, establishing energy management as a key research focus.
In some studies [
21,
22,
30], a small capacitor is connected at the output of the rectifier bridge, followed by a circuit containing a switch—typically configured with an inductor, diode, and capacitor—to form a step-down structure that regulates the voltage from the small capacitor. As illustrated in
Figure 3c and
Figure 4, this small capacitor (
) is responsible for temporarily storing the energy output from the TENG after rectification and subsequently delivering it through a buck-like circuit to achieve a stable voltage output. Many studies [
31,
32,
34] have investigated strategies for obtaining a stable low-voltage output from TENGs, proposing PMUs that integrate voltage regulation and rectification into a unified architecture tailored for TENG applications. The circuit topology and its associated control strategies represent a critical research focus within the field of TENG energy management.
The rapid development of TENGs has sparked significant interest in energy management strategies, yet several fundamental challenges remain unresolved. First, while the – model is widely used to describe TENG output behavior, it fails to clearly reflect the nature of energy generation and transfer. A more representative model is needed, one that accurately captures the energy conversion process by incorporating the unique capacitive structure and operating mechanisms of CS-TENGs.
Second, analysis of the CS-TENG operation, as illustrated in
Figure 5, reveals two distinct capacitive elements. However, the roles of these two capacitors in the energy conversion process have not been clearly defined. It remains unclear as to whether transferred charges ultimately return to the positively charged electrode or accumulate at the counter electrode, which has a direct impact on the system’s energy harvesting efficiency. This issue is particularly critical under switching configurations such as those shown in
Figure 3c,d and necessitates further investigation from a charge dynamics perspective.
Third, the output characteristics of TENGs—high voltage, low capacitance, and strong intermittency—pose significant challenges for energy storage and utilization. The irregular and unstable nature of mechanical input often leads to wasted energy unless managed properly. Therefore, the design of PMUs must account for these properties to ensure effective energy transfer and recycling.
To address these challenges, this study proposes a novel energy conversion and storage strategy tailored for CS-TENGs. First, a dual-capacitor energy model is established to characterize the intrinsic electrical behavior of CS-TENGs, offering a more accurate representation of energy transfer than the conventional – framework. This model captures the interaction between two capacitive domains that arise from the structural configuration of the TENG and enables detailed analysis of charge dynamics during mechanical excitation.
Second, based on this refined model, a dual high-voltage switch rectifier bridge topology is designed. The circuit incorporates two air-gap discharge switches, an inductor, and a freewheeling diode to realize a quasi-rectifier bridge. This topology enables bidirectional high-voltage discharge and magnetic energy buffering, addressing the instability and inefficiency inherent in traditional rectifier-based harvesting circuits.
Third, a comprehensive experimental platform is developed to validate the proposed model and circuit. The results demonstrate that the dual-switch topology significantly improves energy harvesting efficiency under low-frequency mechanical inputs, enhances voltage stability, and facilitates more effective energy storage. These contributions provide a theoretical foundation and practical solution for advancing the performance of triboelectric energy harvesting systems.
In summary, the main contributions of this study are presented in
Table 1, highlighting the core innovations in modeling, circuit design, and experimental validation.
This paper is organized as follows:
Section 1 introduces the research background, highlights the limitations of existing models, and outlines the motivation for this study.
Section 2 develops a theoretical framework for analyzing TENG electrical energy based on a dual-capacitor model, providing insight into the dynamic charge behavior of CS-TENGs.
Section 3 investigates the intrinsic dual-capacitance characteristics of CS-TENGs and proposes a quasi-rectifier bridge topology incorporating dual high-voltage discharge switches and a magnetic energy transfer mechanism.
Section 4 presents experimental results that validate both the proposed energy model and the performance of the designed circuit. Finally,
Section 5 concludes this study by summarizing the main findings and suggesting potential directions for future research.
2. Energy Characteristics of TENG Based on the Capacitor Model
Building upon the previous analysis of the – model of TENGs, this section aims to elucidate the energy conversion mechanism of TENGs more intuitively by adopting a capacitor-based perspective. Taking the CS-TENG as an example, and by applying the principles of energy conservation and charge conservation, we investigate the operational characteristics of TENGs in greater depth.
2.1. Structural Modeling and Charge Distribution of Dual Capacitors
Unlike the traditional single-capacitor – model, the contact–separation-mode TENG (CS-TENG) inherently exhibits a dual-capacitor configuration due to its layered mechanical structure. In this system, the aluminum electrode periodically moves toward and away from the FEP layer, forming a variable capacitor , whose value dynamically changes with the displacement. In contrast, the copper electrode remains stationary beneath the FEP, forming a fixed capacitor . This asymmetric capacitor arrangement governs the internal charge redistribution and voltage evolution during mechanical excitation. To accurately capture the energy transfer behavior of the device, a detailed analysis is conducted based on the principles of charge conservation and electrostatic coupling.
As shown in
Figure 6, the structure of the CS-TENG essentially contains two capacitors. Capacitor
serves as the initial charge storage unit where triboelectrification generates charges, while capacitor
receives the charges transferred from
. The expressions for these two capacitances are given by (
5) and (
6) from the definition of capacitance.
According to (
5) and (
6), the value of
varies with the separation distance
between the electrodes, while
remains constant. Based on the specific parameters in
Section 5, it can be observed that when
reaches its maximum, the value of
is significantly smaller than that of
.
Figure 6b illustrates the voltage distribution during the charge transfer process. In combination with the external circuit, it can be inferred that the charges initially stored in
flow through the external load and are ultimately stored in
. The voltage expressions across the two capacitors are given in (
7)–(
9).
According to the principle of charge conservation and the integral relationship between current and charge, the transferred charge
can be expressed as (
10):
Moreover, under the charge conservation law, the total charge stored in
and
within one mechanical cycle should be equal to the total amount of triboelectric charges generated in that cycle. Further analysis based on the voltages
,
, and
in
Figure 6b, and applying Kirchhoff’s voltage law (a basic law in circuit theory describing voltage balance in a closed loop) yields (
11):
This relationship provides an intuitive understanding: As charge flows out of capacitor and accumulates in , the voltage across () rises accordingly. This reflects the dynamic migration of charge driven by the electric field and establishes a new voltage distribution in the system.
In summary, by comprehensively analyzing the expressions of capacitance, voltage relationships, charge conservation, and Kirchhoff’s law, the physical mechanism of charge transfer and energy output in the CS-TENG’s double-capacitor structure can be systematically revealed. Based on the above analysis, this paper further investigates the energy characteristics of the CS-TENG from the perspective of capacitive energy storage, aiming to uncover its intrinsic behavior and optimization direction in the energy harvesting process.
2.2. Capacitive Energy Characterization and Influencing Factors
Re-examining
Figure 6a and the related derivations, the dielectric layer (FEP film) and the upper electrode (aluminum plate) form a parallel-plate capacitor (
). Based on the definitions of electrostatics, the expressions for electrostatic energy
E are given as (
12):
From (
12), the stored energy is seen to depend on the dielectric constant
, plate separation
, and charge
Q. Specifically, energy increases with the square of
, is directly proportional to the separation distance, and inversely proportional to the dielectric constant. Combined with (
5) and (
7), these equations collectively characterize the energy behavior of CS-TENG.
We may reinterpret
Figure 1 with the following expressions:
Figure 1a: No charge is generated; hence, voltage (
) and energy (
) are zero.
Figure 1b: Charges are generated, but the plate distance is negligible;
is extremely large, resulting in near-zero voltage (
) and energy (
).
Figure 1c: As plate separation increases, capacitance (
) decreases, voltage (
) rises, and stored energy (
) increases.
According to Gauss’s law, under constant charge, the maximum electrostatic energy is reached when the separation distance
x reaches its maximum value (
). Therefore, the maximum potential energy of the CS-TENG system corresponds to the maximum mechanical displacement, assuming no charge loss. This conclusion aligns with that obtained via the
–
analysis method in [
14]: high electrostatic energy is equivalent to high voltage, as in (
13).
Analyzing
Figure 1d,e, once the TENG is connected to an external load (see
Figure 3a), the generated charges will flow through the two-terminal load and accumulate on the bottom electrode. If the external circuit is represented as a resistive or capacitive load, the increasing voltage (due to increasing plate separation) causes current to flow, transferring energy to the load.
Although the triboelectric charge generated during contact, as described by the theoretical expression
, represents the upper limit of the energy potential, the actual amount of retained charge is often significantly lower in practice. Various physical and environmental conditions—such as contact force, surface roughness, relative humidity, and ambient air pressure—can diminish the effective charge through incomplete triboelectric contact or charge neutralization during the separation process. As a result, the stored electrostatic energy frequently falls short of its theoretical maximum, particularly in passive circuit configurations like
Figure 3a, where uncontrolled energy loss occurs throughout the mechanical motion.
The capacitor-based energy model proposed in this work reveals two essential principles for maximizing energy output in CS-TENG systems. First, maintaining a constant level of charge Q during the plate separation phase is crucial, as energy increases with decreasing capacitance. Any premature charge leakage directly limits the achievable energy. Second, the optimal moment for releasing the stored energy corresponds to the point of maximum displacement, when the capacitor gap—and thus the voltage across —reaches its peak. These insights emphasize that energy extraction should be both charge-preserving and displacement-synchronized, establishing a foundation for precision-timed energy management strategies.
These findings underscore the importance of circuit-level control mechanisms that enable energy transfer to occur only at the peak of electrostatic potential energy. As demonstrated in
Figure 3d, air-gap breakdown switches provide a feasible implementation by activating only when the voltage across
exceeds a designated threshold, typically near the maximum displacement. Such timed switching ensures that energy is harvested at its most concentrated state, minimizing loss and enhancing conversion efficiency. The proposed model thus offers not only a theoretical understanding of CS-TENG dynamics but also a clear directive for designing high-efficiency energy harvesting circuits.
2.3. Timing Strategy for Maximum Energy Extraction
A closer examination of the dual-capacitor structure in CS-TENG reveals the mechanism of energy transfer and storage from the perspective of charge conservation. Theoretically, when the positive charges on the top electrode are displaced, they ultimately accumulate on the second capacitor (
). By regarding capacitors
and
as two interconnected energy storage elements as (
14) and (
15), as the charge on
increases, its voltage rises accordingly. Simultaneously, if the charge on
rapidly decreases while the electrode separation is reduced, energy stored in
can flow back to
through the rectifier bridge. Owing to charge conservation, this process results in the external load capacitor storing energy from both charging stages.
As illustrated in
Figure 3b,c, the system utilizes a rectifier bridge to facilitate bidirectional charge transfer, thereby enabling the two-stage charging of the load.
As previously described, the circuit illustrated in
Figure 3d achieves potential energy output by utilizing the high voltage across capacitor
in the CS-TENG to trigger an air breakdown discharge device (
) when the electric potential reaches its maximum. In light of the double-capacitor structure, the circuit diagram is presented in
Figure 7 for further analysis of optimal potential energy extraction.
A detailed examination reveals that to achieve maximum potential energy output, the discharge voltage threshold of the air breakdown device (
) must be set slightly below the peak voltage of
(
). During the first stage of a mechanical cycle—characterized by the increasing separation between the aluminum plate and the FEP film due to mechanical motion (
Figure 7a)—electrostatic charges are generated, and the voltage (
) across
gradually increases. Once
exceeds the breakdown threshold, switch
conducts, enabling the release of stored potential energy. In this process, the majority of the charges are transferred from
to
, effectively storing part of the extracted energy in
.
In the second stage—where the aluminum plate moves closer to the FEP film until physical contact is re-established (
Figure 7b)—the amount of charge on
rapidly decreases, leading to a significant drop in
. Meanwhile,
retains a high charge level, and
remains elevated, although it is still lower than the peak value previously reached by
. As
approaches zero (particularly when the separation distance becomes minimal), it is theoretically expected that the remaining potential energy in
could be released by triggering air breakdown through the voltage difference across
, resulting in a reverse charge flow back to
.
However, upon closer inspection of this discharge mechanism, a logical contradiction emerges. For the air breakdown device () to conduct during the second stage, its voltage threshold must be reduced to accommodate the lower value of . Yet, such a reduction would prematurely trigger the air discharge during the first stage, before reaches its peak, thereby reducing the amount of extractable potential energy and lowering the overall energy conversion efficiency of the CS-TENG.
This deduction leads to the conclusion that the air breakdown discharge mechanism cannot be reliably triggered during the second stage. This limitation introduces two major issues: (1) residual potential energy stored in remains unutilized, resulting in energy waste and reduced overall energy harvesting efficiency; and (2) as charge accumulates on across multiple cycles, continues to increase, causing the voltage difference across to shrink. This further inhibits the conduction of the air breakdown device, ultimately impairing the stability and performance of energy output in subsequent mechanical cycles.
In summary, to achieve optimal potential energy extraction from the CS-TENG with a dual-capacitor configuration, it is necessary to address the physical and circuit-level limitations associated with the second-stage air discharge mechanism. This motivates the need for further circuit design improvements or advanced energy management strategies.
Furthermore, the effect of environmental conditions on charge retention must be considered. At low mechanical frequencies (e.g., below 1 Hz), the charges stored in may dissipate due to neutralization caused by high voltage, air humidity, or ionization. In contrast, at higher frequencies (e.g., above 10 Hz), charges may accumulate more rapidly, resulting in high voltages that interfere with the normal operation of switching devices (e.g., insufficient voltage difference across the switch), thereby affecting the effective release of electrostatic potential energy from the TENG.
Therefore, when designing energy management systems for high-frequency TENGs, special attention must be paid to ensuring a closed charge transfer path, precise control of energy release timing, and a dynamic balance between charge retention and neutralization. These considerations are crucial for maintaining stable output and achieving efficient energy conversion in TENG-based systems.
2.4. Analysis of Energy Conversion and Storage Based on High-Voltage Potential Energy Output
As illustrated in
Figure 8, the CS-TENG can be connected to a purely capacitive load through an air-discharge switch, which is triggered at the moment of maximum displacement. In this configuration, the high-voltage potential energy accumulated during the separation phase is rapidly released and transferred to the load capacitor. According to the principle of charge conservation, the maximum charge that can be delivered to the external capacitor is
, where
Q is the triboelectrically generated charge during one contact–separation cycle. This establishes a theoretical upper limit on the charge transfer in an ideal capacitive load scenario.
However, this charge-centric analysis does not fully capture the energy dynamics of the system. In practice, due to the significant voltage difference between the CS-TENG and the external capacitor (the CS-TENG being at high voltage and the capacitor initially at low voltage), a transient surge current is generated. This large current pulse leads to considerable energy dissipation across the circuit resistance and the internal resistance of the capacitor. As a result, only a small portion of the original electrostatic potential energy is effectively stored in the load capacitor. This behavior is quantitatively described by (
16)–(
18).
(
16) and (
17) are compared based on the principle of charge conservation. It can be observed that although charge conservation is satisfied (i.e.,
can receive
of charge due to the action of the rectifier bridge), only a small portion of the potential energy generated by the CS-TENG is actually stored in the load capacitor. This is primarily because the value of
is much larger than the minimum value of
as (
18). Typically,
is in the picofarad (
) range, whereas
is in the microfarad (
) range for energy storage purposes.
To address this issue, refs. [
31,
32] and other researchers propose a strategy inspired by buck converter topologies. The key idea is to introduce an intermediate energy conversion stage: converting the transient high-current pulse into magnetic energy via an inductor, and subsequently transforming this energy back into electrical form for delivery to the load. This electromagnetic energy buffering approach significantly reduces instantaneous current surges and improves the overall energy transfer efficiency, thereby effectively mitigating energy loss caused by high-voltage discharge events.
This insight suggests that careful circuit design—particularly incorporating magnetic energy storage elements—is crucial for maximizing energy harvesting efficiency in high-voltage TENG applications.
5. Conclusions
This study proposed a new capacitive energy representation model for CS-TENGs, highlighting that energy output is governed by material charge density, contact area, and separation distance. A dual-capacitor structural model was introduced to characterize charge transfer and energy conversion, offering improved insight beyond the classical – framework.
To address the limitations of conventional rectifier-based circuits, a dual high-voltage switch rectifier topology was designed and implemented. This architecture utilizes bidirectional gas-discharge switches and an inductive energy buffer to enable high-efficiency energy transfer and reduce losses from premature discharge. Experimental results validated the model and circuit performance, demonstrating that the proposed topology achieved significantly faster energy accumulation compared to the single-switch configuration.
Notably, the integration of an air-gap discharge mechanism eliminated the need for complex gate control, thus simplifying the power management circuitry for self-powered systems. However, capturing the precise peak voltage point within each mechanical cycle remains a technical challenge. Accurately detecting the peak voltage point in real time typically requires high-speed circuitry such as comparators, ADCs, or external sensing modules. However, these components require external power, which contradicts the self-powered nature of TENGs, as their output is extremely weak. Therefore, one of the main goals in TENG energy management is to minimize auxiliary energy consumption. In this study, gas-discharge tubes are used as passive, self-triggered switching devices that do not require external drive circuits. Under such self-driven constraints, detecting and utilizing the peak voltage point becomes a major technical challenge. This limitation represents a key focus in current TENG research aimed at enabling fully autonomous energy harvesting. Future research will focus on developing real-time peak tracking strategies and adaptive switching methods, as well as extending this topology to scalable distributed TENG arrays for Internet-of-Things (IoT) applications.
In summary, the key contributions of this work include the following: (1) establishing a dual-capacitor energy model for CS-TENGs; (2) designing a novel bidirectional high-voltage switch rectifier energy transfer topology; and (3) validating the proposed model and circuit through experimental demonstration under low-frequency mechanical excitation.
These results provide both theoretical and practical foundations for next-generation high-efficiency triboelectric energy harvesting systems.