Designing a 2 kW LLC Transformer with Integrated Resonant Inductor

Designing an LLC transformer where the resonant inductance is fully integrated into the transformer leakage is a powerful way to shrink magnetics and improve efficiency in high‑density power supplies.

This approach, however, exposes all the practical limits of core sizing, leakage control, copper losses and thermal margins that are often hidden by first‑order equations.

The following article written by Dr. Molina, Frenetic walks through a realistic 2 kW, 800 V to 48 V LLC converter design using an integrated resonant inductor, highlighting how to select LmL_m and LrL_r, estimate core size and leakage, and then close the loop with simulation‑driven iteration.

Key Takeaways

  • The article outlines the process of designing an LLC transformer with integrated resonant inductance for high-density power supplies.
  • It highlights practical challenges such as core sizing, leakage control, and the need for simulation-driven iteration.
  • Key design parameters include a 2 kW output, 800 V input, and 48 V output, targeting an efficiency above 97%.
  • The article emphasizes the importance of the L_m/L_r ratio in shaping gain curves and the role of effective quality factor Q_e.
  • Final design choices involve selecting suitable cores and managing thermal performance while maintaining good control characteristics.

Design target and operating context

For this example, the LLC stage targets a telecom/industrial‑class DC‑DC converter around the 2 kW level with a high‑voltage front end.

The key requirement is to integrate the resonant inductance into the transformer leakage inductance, eliminating a separate resonant choke. This places tight constraints on the core geometry, winding scheme and allowable temperature rise, because the “transformer” now carries both isolation and resonant energy‑storage functions.

LLC Gain Model

Using the Fundamental Harmonic Analysis (FHA) approach (as described in TI’s SLUP263), the LLC voltage gain can be approximated as:

Mg=∣Ln⋅fn2[(Ln+1)⋅fn2−1]+j[(fn2−1)⋅fn⋅Qe⋅Ln]∣M_g = \left| \frac{L_n \cdot f_n^{2}}{[(L_n + 1)\cdot f_n^{2} – 1] + j \left[(f_n^{2} – 1)\cdot f_n \cdot Q_e \cdot L_n \right]} \right|where:

Why the Lm/LrL_m/L_r ratio matters

Different LnL_n values reshape the gain curve:

The role of QeQ_e and resonant capacitance

The effective quality factor QeQ_e is shaped by:Qe=Lr/CrRe

For a given power level and bus voltage, QeQ_e links the tank design to the expected load range. The resonant capacitor selection is non‑trivial: the chosen capacitance must support control requirements, soft‑switching windows and component availability. In this design walkthrough, CrC_r is treated as a degree of freedom to be fixed later once the magnetic structure is stable; the focus is on the transformer plus integrated LrL_r.

Choosing Initial Design Values

We’re going to use the Frenetic Magnetic Simulator to find a design. Even though we understand the theory, the Frenetic Simulator still requires you to input numerical values for Lm and Lr.

In practice, a moderate value such as Ln≈5L_n \approx 5 is often chosen early as a good compromise between gain sensitivity and control range. The study further assumes an effective quality factor Qe≈0.5Q_e \approx 0.5 as an initial, well‑behaved operating point.

These values tend to produce stable and well-behaved gain curves, making them a good initial point for design exploration.

Now we need to put pen to paper and get some actual values for Lm and Lr.

Estimating core size using area product

Before assigning absolute values to LmL_m and LrL_r, it is essential to estimate how large the transformer should be. The achievable leakage inductance is tightly linked to core geometry and winding layout, so starting from a realistic core size avoids chasing impossible combinations of inductance and loss.

A practical way to estimate core size is the area‑product method. The area product ApA_p combines core cross‑section area AcA_c and winding window area AwA_w into a single figure of merit related to apparent power:Ap=AwAc  (cm4)Where:

A more practical expression relates the area product to the transformer power capability directly:Ap=Pt⋅104KfKuBmJf

Where:

Remember, the apparent power includes both primary and secondary power throughput:Pt=Po(1+1η)

CASE STUDY

Assumed Design Parameters

For this design I’ll choose conservative but realistic values:

With these assumptions, the estimated area product is on the order of 8 cm4. This points toward medium‑to‑large E‑cores as suitable candidates, such as:

This initial sizing is intentionally approximate and serves to narrow down core families rather than pick a final part number.

Once a core candidate is selected, we can estimate the minimum number of primary turns required to keep the flux density below our target.

Estimating the minimum primary turns

For each potential core, the minimum primary turns are chosen so that the peak flux density remains below the target BmB_m at 800 V input and the intended operating frequency. Np≈V4BmaxAef

This yields a first‑order turn count which:

  1. Limits core loss by constraining peak flux.
  2. Determines copper cross‑section needs from current density.
  3. Sets the scale for both magnetizing and leakage inductances.

Even if a simulator will later refine the exact turns, having a minimum turns estimate is necessary to predict the feasible leakage inductance range.

Estimating leakage inductance as resonant LrL_r

Because the resonant inductance is fully integrated into the transformer, the leakage inductance of the winding geometry becomes the design’s LrL_r. Classical rules of thumb such as McLyman’s formulas approximate leakage for layered windings, using physical dimensions like:

Lp=4π (MLT) Np2a(c+b1+b23)

These formulas are sensitive to assumptions about insulation thickness and layout. For a design where leakage inductance is a key functional parameter rather than a parasitic, this sensitivity must be treated with caution. Nevertheless, the approximations give a useful starting point for:

With an estimated leakage LrL_r for the chosen core and turns, LmL_m can be set using the target inductance ratio. For example, if leakage is around 10 µH and Ln=Lm/Lr=5L_n = L_m / L_r = 5, then:

These values then feed into a magnetic simulation tool for detailed optimization.

Simulation‑driven design with Frenetic

The study uses the Frenetic Magnetic Simulator to explore many transformer variants quickly. Starting from the analytical estimates, the tool evaluates:

Across 33 different designs and multiple core sizes, the simulations reveal several important realities for integrated LLC magnetics.

Observation 1 – initial area product was optimistic

Smaller cores derived from the 8 cm4^4 estimate struggled to meet both loss and temperature limits at 2 kW. With the integrated resonant function, the transformer carries substantial reactive energy and copper stress, so the actual required core volume is larger than a simple area‑product estimate suggests. In practice:

Observation 2 – analytical leakage estimates are optimistic

The leakage inductance predicted by simple formulas often deviated from the simulation results. In an LLC design where leakage is intentionally raised and controlled:

This underscores that leakage needs to be validated by field‑solving or high‑fidelity simulation, not just pencil‑and‑paper rules.

Observation 3 – lower LnL_n increases thermal stress

The design exercise shows a clear trend: as LnL_n decreases, thermal performance worsens, even when core size and basic flux limits are similar. The reason is primarily copper‑related:

For an integrated resonant design, this effectively limits how low LnL_n can be pushed without compromising thermal headroom.

Observation 4 – larger cores ease thermals but push LnL_n upward

Scaling to larger cores generally reduces flux density and current density for a given power level, improving thermal margins and lowering losses. However:

The net effect is that bigger cores make it easier to meet thermal targets but harder to hold LnL_n near 5. Designers often face a trade‑off: accept a higher LnL_n and adapt control strategy, or accept tighter thermal margins.

Observation 5 – leakage is relatively stable per core family

For a given core geometry, the achievable leakage inductance did not vary as dramatically as one might expect:

This suggests that, for a chosen core family, there is only a narrow band of feasible leakage values without radical changes to the winding concept.

Final design choice and key numbers

After exploring the design space, the selected solution uses:

This design comfortably fits within a 2 kW/97% efficiency target with a shared loss budget of about 60 W and a transformer allocation of roughly 24 W. The achieved 14.66 W of losses leaves margin for control, EMI, and mechanical uncertainties while maintaining a reasonable temperature rise.

Although the final LnL_n is higher than the initial target of 5, the design is considered practical and controllable. It provides:

The resonant capacitor and precise switching frequency plan remain important tuning knobs at the converter level. Adjusting these can compensate for the higher LnL_n during control loop design and fine‑tune the gain curve without reopening the magnetic stack from scratch.

Typical applications for this LLC transformer approach

An LLC transformer with integrated resonant inductance and a 2 kW, 800 V to 48 V profile is well aligned with a range of high‑density power conversion tasks:

The integration of the resonant inductor directly into the transformer is particularly attractive anywhere PCB real estate and component height are constrained, or where layout simplicity and reduced parasitics are key to EMI performance.

Design‑in notes for magnetics engineers

When designing or specifying an LLC transformer with integrated resonant inductance, the following practical points are useful:

For purchasing engineers, it is important to recognize that such a transformer is not a commodity catalog part. It is usually an application‑specific magnetic component, designed around:

Sourcing strategies should therefore focus on manufacturers experienced in custom high‑frequency magnetics and on establishing clear specifications for LmL_m, LrL_r, inductance tolerance over temperature, isolation ratings and test conditions.

Source

This article summarizes and interprets a detailed 2 kW LLC transformer design example with integrated resonant inductance, based on a technical design walkthrough published by the original author. Numerical values, core choice and qualitative trends follow the example content, while additional commentary focuses on design‑in implications for engineers and buyers.

FAQ – Designing a 2 kW LLC Transformer with Integrated Resonant Inductor

What is the main goal of this 2 kW LLC transformer design?

The goal is to design a 2 kW, 800 V to 48 V LLC transformer where the resonant inductance is fully integrated into the transformer leakage, eliminating a separate resonant inductor and achieving high efficiency around 97%.

Why is the ratio Lm/Lr (Ln) important in an LLC converter?

The inductance ratio Ln=Lm/Lr strongly shapes the gain curve of the LLC converter, affecting gain sensitivity, the required frequency range for regulation, and overall control behavior, so it must be chosen as a design trade‑off rather than a purely theoretical value.

What role does the effective quality factor Qe play?

The effective quality factor QeQ_e, determined by LrL_r, CrC_r and the reflected load resistance, affects the sharpness of the gain peak and the shape of the resonant response, linking the magnetic design to the load and control dynamics.

How is the initial core size for the transformer estimated?

The initial core size is estimated using the area product method, which relates core cross‑section, window area, flux density, frequency and current density to the apparent power, giving a first guess of suitable E‑core families for a 2 kW design.

Why is simulation necessary after first‑order calculations?

First‑order methods give rough values for area product, turns and leakage, but leakage inductance and AC losses depend strongly on real geometry; simulation tools such as Frenetic are needed to accurately predict LmL_m, LrL_r, losses and temperature before building hardware.

What were the main constraints and targets in the design study?

The design aimed for Ln≈5L_n \approx 5, transformer losses below about 24 W within a 60 W total loss budget, and a temperature rise limited to roughly 100 °C to keep the design practical for cooling and long‑term reliability.

What did the simulations reveal about core sizing and leakage?

Simulations showed that the area‑product estimate was optimistic, smaller cores ran too hot, analytical leakage estimates were often too high, and for a given core family the achievable leakage range was narrower than simple formulas suggested.

Why can a low Ln ratio be thermally problematic?

Lower Ln requires lower magnetizing inductance, which increases magnetizing current and often requires larger or distributed air gaps, leading to higher AC copper losses and fringing‑field heating that push winding temperature upward.

How do larger cores affect the design trade‑offs?

Larger cores reduce flux and current density and improve thermal behavior, but they also reduce leakage inductance for a given turns arrangement, which tends to increase LnL_n and move the design away from the original target gain characteristics.

What final transformer configuration was selected?

The final practical solution used an E65/32/27 ferrite core with 34 primary turns, total transformer losses of about 14.66 W and a maximum temperature near 88 °C, resulting in an inductance ratio LnL_n of approximately 7.7 instead of the initial target of 5.

Why was a design with Ln≈7.7 accepted?

Although Ln≈7.7 increases control sensitivity compared with 5, the configuration meets power, efficiency and thermal requirements, provides integrated resonant inductance without a separate inductor, and offers a robust starting point for converter‑level optimization.

What is the broader lesson for magnetics engineers?

The study shows that relying solely on area‑product and textbook leakage formulas is insufficient for integrated‑resonant LLC transformers; accurate simulation and iterative exploration of geometry are essential to find realistic trade‑offs between LnL_n, losses, temperature and manufacturability.

How‑to – Design a 2 kW LLC Transformer with Integrated Resonant Inductor

  1. Step 1 – Define electrical targets

    Specify the main converter parameters such as: LLC topology, 800 V DC input bus, 48 V output, 2 kW power level, nominal switching frequency around 100 kHz and an efficiency target above 97%, and decide that the resonant inductance will be fully integrated into the transformer leakage.

  2. Step 2 – Choose initial Ln and Qe

    Use the Fundamental Harmonic Analysis model to select an initial inductance ratio Ln=Lm/Lr (for example around 5) and an effective quality factor Qe (for example around 0.5) that give a well‑behaved gain curve and reasonable frequency range for regulation.

  3. Step 3 – Estimate area product and candidate cores

    Apply the area‑product method with realistic assumptions for waveform factor, window utilization, peak flux density, current density, frequency and apparent power to estimate the required area product (roughly 8 cm4^4 in this case) and shortlist suitable E‑core families such as E55, E56 or E42.

  4. Step 4 – Calculate minimum primary turns

    For each candidate core, estimate the minimum primary turns using the flux‑density limit at 800 V and 100 kHz so that the peak flux stays within the chosen BmaxB_\text{max}, which also sets the approximate current density, copper cross‑section and starting point for magnetizing inductance.

  5. Step 5 – Approximate leakage inductance as Lr

    Using the assumed core, turns and window geometry, approximate the leakage inductance with a rule such as McLyman’s formula, interpreting it as the resonant inductance Lr and recognizing that insulation thickness, spacing and layer structure heavily influence the final value.

  6. Step 6 – Derive magnetizing inductance Lm

    From the target inductance ratio LnL_n and the estimated leakage LrL_r compute the required magnetizing inductance Lm=Ln⋅LrL_m = L_n \cdot L_r to obtain a consistent set of tank parameters that can be fed into a magnetic simulator.

  7. Step 7 – Run magnetic simulations and iterate

    Load the candidate cores, turns, LmL_m and LrL_r into a tool such as Frenetic, then iterate across winding arrangements, gaps and wire options while monitoring achieved inductances, core and copper losses and hot‑spot temperature for each configuration.

  8. Step 8 – Analyze trends and adjust targets

    Use the simulation results to observe how changing core size and winding layout affects LnL_n, leakage, losses and temperature, and be prepared to relax the original LnL_n target or upsizing the core when smaller cores overheat or when realistic leakage values do not match analytical estimates.

  9. Step 9 – Select a practical transformer solution

    Choose the configuration that best balances thermal limits, efficiency and controllability; in this study an E65/32/27 core with 34 turns, about 14.66 W loss, 88 °C maximum temperature and Ln≈7.7L_n \approx 7.7 was selected as a robust, manufacturable design.

  10. Step 10 – Reserve degrees of freedom at converter level

    With the transformer fixed, plan to fine‑tune resonant capacitance, frequency range and control strategy around the realized LnL_n and QeQ_e, using system‑level simulation and hardware validation to refine the gain curve and ensure reliable operation under real‑world load and input variations.

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