EV Regenerative Braking and Brake Force Distribution

Compare front/rear brake force distribution and series or parallel regen blending. Check axle adhesion, motor and battery limits, and recovered energy over a complete stop.

#battery charge acceptance #brake force distribution #EBD #I-curve #regen blending #regenerative braking #UN ECE R13-H

This regenerative braking calculator compares front/rear brake force distribution and the division between electrical regeneration and friction braking during one constant-deceleration stop. It is intended for engineers comparing architectures, students learning vehicle dynamics, and anyone estimating regen energy recovery from a proposed motor and battery combination.

Enter the vehicle mass, wheelbase, centre-of-gravity height and static front load fraction first. These determine the dynamic axle loads as braking transfers load forward. Set the initial speed, braking demand as a fraction of gravity, and tire–road friction. An optional lateral acceleration reserves part of the tire friction circle for cornering; it does not calculate a turning trajectory.

Choose front, rear or dual-axle regeneration, then enter the generating torque and mechanical power limits. Torque is the aggregate motor-shaft value on each axle. The speed ratio maps it to the wheels using an ideal gearbox. Motor/inverter and battery charging efficiencies represent the electrical conversion and storage losses separately. Use the battery management system's charge acceptance at the relevant temperature and state of charge, and enter the remaining energy headroom. Regeneration fades between the two low-speed settings and stops at the cutoff.

Series blending can follow the ideal brake force distribution, maximize regeneration within a front-first stability envelope, or retain a fixed axle split. Ideal EBD gives equal longitudinal adhesion utilization at both axles. The energy-priority option can apply extra front braking when this permits more recovery without overbraking the rear axle. A rear-drive vehicle remains constrained by the rear axle's unloading.

Parallel blending uses linked friction brakes with a fixed hydraulic front fraction and a minimum friction share. Regeneration adds to that hydraulic contribution. The controller finds the largest feasible electrical contribution while respecting axle grip and front-first utilization. If that combination has no feasible stable blend, it falls back to linked friction braking and the indicators expose its limitation. The comparison table uses the same vehicle, motor and battery settings for both strategies; different axle constraints can change which strategy recovers more energy.

Play the stop to inspect the changing force blend. The charts show the I-curve, lock boundaries, power envelopes and the energy split. A rear-first tendency means reduced rear lateral-force reserve, while front-first saturation reduces steering authority. Neither is a prediction of the actual yaw motion.

This tool does not simulate tire slip, ABS cycling, ESC intervention, split-friction roads, suspension pitch, road grade, brake temperature or actuator faults. Energy includes translational kinetic energy only. It is a design comparison, not a vehicle brake calibration or approval test. UN ECE R13-H, Revision 4 and its amendments, provides relevant regulatory context; check against the standard in force and validate real braking controls with vehicle-specific testing.

How it is calculated

On a level road, write W=mgW=mg, z=a/gz=a/g, k=h/Lk=h/L and let ss be the static front load fraction. Moment equilibrium gives Nf=W(s+zk)N_f=W(s+zk) and Nr=W(1−s−zk)N_r=W(1-s-zk). Total brake demand is D=ma=mgzD=ma=mgz. Equal adhesion use gives the I-curve: Ff=zNfF_f=zN_f, Fr=zNrF_r=zN_r. These balances are derived here; the axle-load and stability treatment is consistent with Limpert, Brake Design and Safety, 3rd edition (2011), and Boerboom (2012), §§1.2.1–1.2.2.

For a lateral demand y=ay/gy=a_y/g, available longitudinal adhesion is μx=μ2−y2\mu_x=\sqrt{\mu^2-y^2}, assuming lateral force proportional to axle normal load. The front-first envelope is max⁡(Ff,I,D−μxNr)≤Ff≤min⁡(D,μxNf)\max(F_{f,I},D-\mu_xN_r)\le F_f\le\min(D,\mu_xN_f). Series energy priority maximizes min⁡(Ff,Cf)+min⁡(D−Ff,Cr)\min(F_f,C_f)+\min(D-F_f,C_r) over this interval and applies the shared battery limit. Among equally recovering solutions, it chooses the front force closest to the I-curve. Ideal and fixed series modes prescribe the axle split instead.

Each motor envelope is Cj(v)=f(v)min⁡(TjG/r,Pj/v)C_j(v)=f(v)\min(T_jG/r,P_j/v) on enabled axles; f(v)f(v) is the specified low-speed linear fade. Motor/inverter DC power is ηev(Rf+Rr)\eta_e v(R_f+R_r) and is capped by the BMS terminal acceptance. Stored power is ηeηbv(Rf+Rr)\eta_e\eta_b v(R_f+R_r), where ηb\eta_b is battery charging efficiency; remaining stored-energy headroom limits each interval. Series control replaces axle friction force with regen up to these limits. Parallel control has H=D−Rf−Rr≥qDH=D-R_f-R_r\ge qD and Ff=βH+RfF_f=\beta H+R_f. Linear feasibility inequalities provide the exact maximum regenerative contribution for the linked hydraulic split; no force grid is used. An infeasible front-first parallel blend falls back to hydraulic force alone.

For fixed bias β\beta, incipient lock during a demand ramp occurs at zf=μxs/(β−μxk)z_f=\mu_xs/(\beta-\mu_xk) when its denominator is positive, and zr=μx(1−s)/(1−β+μxk)z_r=\mu_x(1-s)/(1-\beta+\mu_xk). These thresholds describe fixed hydraulics, not a speed-varying blended split. The utilization histories assess the selected blend.

The stop has exact kinematics ts=v0/at_s=v_0/a, ds=v02/(2a)d_s=v_0^2/(2a). An 800-interval midpoint model holds each interval's sampled axle forces and powers. When headroom is exhausted, the interval is split at the saturation time: regen supplies power up to that event and friction supplies the residual thereafter. Both strategies' saturation events are inserted into the energy and force plots, and playback uses the same sampled states and event boundaries. Their sum is checked against mv02/2mv_0^2/2. The controller is an original steady-force implementation informed by Gao and Ehsani's integrated blending framework, not a reproduction of a published controller.

Assumptions

  • Level road; constant deceleration and tire friction; both axles remain loaded. All forces are axle totals and braking magnitudes are positive.
  • Ideal fixed-ratio gearing maps aggregate generating torque to wheel force. Separate constant motor/inverter and battery charging efficiencies account for regen losses; generating torque and power must be mutually consistent specifications.
  • BMS acceptance remains constant through a stop until the entered energy headroom is exhausted. SOC and temperature effects enter through the user-supplied acceptance and headroom, not a universal battery curve.
  • Friction brakes can provide any residual axle force instantly. Parallel hydraulics retain the entered fixed front fraction and minimum hydraulic share.
  • Lateral demand is allocated proportional to normal load. The friction-circle allowance omits lateral load transfer and tire load sensitivity.
  • Only translational kinetic energy is counted. Wheel/motor inertia, aerodynamic and rolling resistance, and grade are excluded.

Where it applies

Use for quasi-static axle allocation and single-stop energy comparisons. Front-first or simultaneous utilization is a lock-order indicator, not a guarantee of yaw stability: actual ABS/ESC action, tire combined-slip behavior, split-friction surfaces, transient pitch and actuator dynamics require a vehicle dynamics model and test validation. Keep ABS and ESC intervention authoritative over regeneration. A fixed rear-biased split is shown for diagnosis and raises a warning; a force demand beyond an axle's grip blocks the results.

The series comparison uses the selected series axle rule; parallel always uses linked hydraulics. Thus parallel can recover more than series constrained to the I-curve. Maximum-regen series has a wider admissible force set than the parallel strategy when both satisfy the same grip and front-first conditions. Infeasible parallel blending falls back to hydraulics and may still have a rear-first tendency; inspect its comparison-table lock tendency and peak grip use.

Energy and force use 800 base intervals with midpoint states, plus explicit battery-saturation events and a zero-force rest point. Playback holds the representative force/power state of its interval and switches regeneration off at the saturation event; energy grows with that same sampled power. The velocity used in power calculations is the interval's midpoint velocity, while wheel position uses the exact stop kinematics. Time resolution is one eight-hundredth of the stopping time; the saturation time is resolved within that sampled-power model. The limiter verdict names a binding constraint; when the full demanded force is regenerated with spare motor and battery capacity it reports that braking demand is satisfied. The schematic shows wheel motion and active regeneration paths; body dimensions are illustrative, while axle spacing and wheel radius follow the inputs. Reference lines are cropped above the static rear axle weight to keep the force diagram readable. Fixed-bias lock boundaries may fall outside the plotted range; a missing front threshold means no finite threshold within this force model.

Regulatory context: UN ECE R13-H, Revision 4 (01 series), with amendments listed by UNECE as consulted on 1 November 2026. No regulatory tables or acceptance bands are reproduced or implemented. Check against the standard in force; these results do not establish regulatory compliance.

References

  • Limpert, R. Brake Design and Safety, 3rd edition, SAE International, 2011. https://doi.org/10.4271/R-398 (publisher description consulted; full text not available in this build).
  • Gao, Y. and Ehsani, M. Electronic Braking System of EV and HEV—Integration of Regenerative Braking, Automatic Braking Force Control and ABS, SAE 2001-01-2478. https://doi.org/10.4271/2001-01-2478 (publisher abstract consulted).
  • Gao, Y., Chen, L. and Ehsani, M. Investigation of the Effectiveness of Regenerative Braking for EV and HEV, SAE 1999-01-2910. https://doi.org/10.4271/1999-01-2910 (publisher abstract consulted).
  • Boerboom, M. Electric Vehicle Blended Braking: Maximizing Energy Recovery while Maintaining Vehicle Stability and Maneuverability, Chalmers University of Technology, 2012. §§1.2.1–1.2.5, PDF pp. 24–42, 53, 78. https://publications.lib.chalmers.se/records/fulltext/155034.pdf
  • UNECE. UN Regulation No. 13-H, Revision 4, Braking of passenger cars (01 series), and amendments. Official index, consulted 1 November 2026. https://unece.org/transport/vehicle-regulations-wp29/standards/addenda-1958-agreement-regulations-0-20

Inputs

InputSymbolUnitDefault
Vehicle massm_carkg1800
WheelbaseL_carm2.8
CG heighth_cgm0.55
Static front load fractions_front0.52
Rolling radiusr_wheelm0.32
Initial speedv_initialkm/h100
Deceleration / g
Positive braking demand, held constant until rest.
z_cmd0.3
Tire–road friction coefficientmu_road0.9
Lateral acceleration / g
A friction-circle allowance; this does not simulate a turn.
y_lat0
Regenerative axlesdrive_axleFront
Motor-to-wheel speed ratioratio_g9
Front generating torque
Aggregate motor-shaft generating torque on this axle.
T_frontN*m250
Front mechanical power limitP_frontkW70
Rear generating torque
Aggregate motor-shaft generating torque on this axle.
T_rearN*m180
Rear mechanical power limitP_rearkW50
Regen cutoff speedv_cutkm/h3
Full regen speed
Generating torque ramps linearly from cutoff to this speed.
v_fullkm/h10
Motor / inverter regen efficiencyeta_rec0.9
Battery charging efficiencyeta_store0.95
Battery charge acceptance
Use the BMS limit at the starting SOC and battery temperature.
P_chargekW60
Available stored-energy headroom
Energy the battery can still accept before its upper SOC limit.
E_roomkWh2
Blending strategyblend_modeSeries: regen priority
Series axle distributionaxle_ruleMaximum regen, front-first
Hydraulic / fixed front fractionbeta_fixed0.7
Minimum hydraulic share
Linked friction brakes retain at least this fraction of total demand.
q_hyd0.25
Time in stopt_plays2.5

Results

With the default inputs above, the calc gives:

ResultValue
Stored energy over stop0.115 kWh
Kinetic energy stored (%)59.6
Friction heat over stop0.058 kWh
Time to rest9.44 s
Stopping distance131.1 m
Ideal front share (%)57.9
Front brake force now3,263 N
Rear brake force now2,035 N
Front regen force now3,263 N
Rear regen force now0 N
Stored power now57 kW
Peak axle adhesion use0.576
Lock-order indicatorFront-first tendency
Regen constraint nowBattery charge power

Checked against sources

Each case below was calculated by this calc and agrees with the value from its source (within the tolerance where one is shown).

Published rear torque-to-force example

Source: Boerboom (2012), PDF p. 78 (printed p. 64): the reported mean 450 N·m axle torque corresponds to 1500 N at the 0.3 m rolling radius. This checks the torque-to-wheel-force mapping, not the NEDC cycle simulation.

Inputs: Regenerative axles = Rear; Rear generating torque = 450 N·m; Rear mechanical power limit = 30 kW; Motor-to-wheel speed ratio = 1; Rolling radius = 0.3 m; the others as above.

ResultSourceThis calc
Rear torque-limited regen force1,500 N1,500 N

Published approximate torque–power transition

Source: Boerboom (2012), PDF p. 53 (printed p. 39), reports approximately 25 km/h for a 30 kW, 1200 N·m motor and 0.3 m wheel. Those specifications give exactly 27 km/h; the source's plotted approximation is retained as a 25 ± 3 km/h check, without changing the physics.

Inputs: Regenerative axles = Rear; Rear generating torque = 1,200 N·m; Rear mechanical power limit = 30 kW; Motor-to-wheel speed ratio = 1; Rolling radius = 0.3 m; the others as above.

ResultSourceThis calc
Rear torque–power transition25 ± 3 km/h27 km/h

Published 100 km/h hard stop

Source: Boerboom (2012), PDF p. 42 (printed p. 28), describes a 1500 kg vehicle braking from 100 km/h in 5 s at an average 5.5 m/s². These rounded data imply 5.0505 s; tolerance allows the source's rounding. No thermal-brake or NEDC results are claimed.

Inputs: Vehicle mass = 1,500 kg; Deceleration / g = 0.5607; the others as above.

ResultSourceThis calc
Time to rest5 ± 0.06 s5.051 s

Published I-curve at 0.4 g

Source: Boerboom (2012), PDF p. 28, Figure 6: visual reading of the curb-mass I-curve where the 0.4 g diagonal crosses it gives approximately 3.7 kN front and 2.2 kN rear. The 100 N tolerance is for graph reading, not a fitted model. Geometry and 1500 kg curb mass are specified on PDF p. 18; static front share is 1.5/2.75.

Inputs: Vehicle mass = 1,500 kg; Wheelbase = 2.75 m; CG height = 0.6 m; Static front load fraction = 0.5455; Deceleration / g = 0.4; Series axle distribution = Ideal I-curve; the others as above.

ResultSourceThis calc
Ideal front braking force3,700 ± 100 N3,724 N
Ideal rear braking force2,200 ± 100 N2,162 N

Published I-curve at 0.8 g

Source: Boerboom (2012), PDF p. 28, Figure 6: visual reading at the curb-mass I-curve's intersection with the 0.8 g diagonal gives approximately 8.5 kN front and 3.3 kN rear. The 100 N tolerance accommodates graph resolution. Vehicle parameters are on PDF p. 18; this checks load transfer and the ideal distribution independently of regen limits.

Inputs: Vehicle mass = 1,500 kg; Wheelbase = 2.75 m; CG height = 0.6 m; Static front load fraction = 0.5455; Deceleration / g = 0.8; Series axle distribution = Ideal I-curve; the others as above.

ResultSourceThis calc
Ideal front braking force8,500 ± 100 N8,476 N
Ideal rear braking force3,300 ± 100 N3,296 N

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